Top 10 MSc (Master of Science) Colleges In Data Science and Analytics India

Master of Science (M.Sc) in Data Science and analytics has become quite a popular course recently due to the sudden enormous rise in data science job vacancies in the country. There are a few colleges that offer the course in the online mode, while others offer it in the offline mode. The following blog lists the top 10 colleges in India to pursue the M.Sc in Data Science course.   

Top 10 Colleges for M.Sc in Data Science & Data Analytics 

M.Sc in Data Science & Data Analytics is a postgraduate level program with a duration of 2 years. The course is a highly technical one and hence offers great career opportunities for the future. Some of the top job roles that you can get after an M.Sc in Data Science include Data Analyst, Data Engineer, Data Scientist, Data Architect, Machine Learning Expert, and many more related jobs. 

These job roles are some of the highest-paid ones in the IT industry. So, if you are looking to build a career in Data Science, then an M.Sc in Data Science could be a great option for you. However, it is very important to find the right college with the right facilities that give you great career opportunities rather than just options. 

 

The following table lists the top 10 colleges that offer the M.Sc in Data Science course. This list includes both online and offline colleges in India and abroad for you to choose from based on your circumstances and priorities.  

Top 10 Colleges for M.Sc in Data Science and Data Analytics
S.No	College Name	Mode of Education	Total Fee
1	Manipal University, Jaipur	Online	₹2,60,000/-
2	Chandigarh University, Chandigarh	Online	₹1,20,000/-
3	The University of Arizona, USA	Online	₹8,85,000/-
4	Liverpool John Moores University	Online	₹4,99,000/-
5	Northwestern School of Professional Studies	Online	₹10,33,266/-
6	Amity University, Noida	Offline	₹ 61,000/-(1st year)
7	VIT, Vellore	Offline	₹ 1,62,000/-
8	Sastra University, Thanjavur	Offline	₹ 84,750/-
9	Christ University, Bangalore	Offline	₹ 1,70,000/-
10	GITAM, Visakhapatnam	Offline	₹ 2,50,000/-

 1. Online Manipal University

The Online Manipal University is one of the top online universities in India. The university is UGC entitled and has also received the A+ grade from NAAC. The university has its own Learning Management System which is robust and hence ensures an efficient learning experience.    

– Mode of education

Online mode through Learning Management System (LMS) 

– Course Fee 

Category	Fees in INR
Semester-wise	65,000/- per semester
Total Fee	2,60,000/-

– Eligibility

For admission in the M.Sc in Data Science course in the Online Manipal University, you must fulfil the following conditions: 

• You must have a 10+2+3 degree in Mathematics/Statistics/Computer Science/Technology/Engineering. If you have graduated in any subject other than these, then you must have at least 2 years of learning Statistics/Mathematics. 
• You must have completed your bachelor’s from a recognised higher education institution whose degree is equivalent to the ones recognised by Association of Indian Universities (AIU). 
• Though not mandatory, candidates with work experience are desired. 
• For international students, their bachelor’s degrees must be recognised and approved by the AIU. They must get a certificate of equivalence from AIU to be eligible to apply. 

– Selection Procedure 

There is no particular selection procedure as such. If you fulfil the eligibility criteria mentioned above, then you can get admission as long as there are seats available. 

– Why Online Manipal University for M.Sc in Data Science?

Following are the reasons why you must choose the online M.Sc in data science program from Online Manipal University: 

• The program offers interdisciplinary expertise so that students can strengthen their foundational knowledge of the subject. 
• The university provides strong academic support through regular interactions between students and faculty. 
• All the study material and recorded lectures are available for students on the LMS at all times which helps in self-paced learning of the students.
• The curriculum is highly industry-oriented. The faculty includes professionals with decades of hands-on industry experience. 
• The university offers easy financing options as well as attractive scholarships. 

 – Curriculum

Following is the semester-wise syllabus of online M.Sc in Data Science at Online Manipal University:  

Syllabus for M.Sc in Data Science and Analytics
Semester 1	Semester 2
Computational Mathematics	Categorical Data Analysis and Generalised Linear Models
Database Management	Design and Analysis of Experiments
Programming with R and Python	Distributed Algorithms and Optimisation with Hadoop and Spark
Probability and Probability Distribution	Linear Regression Models
Statistical Inference	Stochastic Processes
	Mini Project
Semester 3	Semester 4
Bayesian Statistical Modelling	Applied Data Analytics
Deep Learning and Text Mining	Programming in SAS for Analytics
Machine Learning Methods	Research Methodology
Longitudinal Data Analysis	Capstone Project
Elective 1 (Any One) 1) Health Technology Assessment 2) Image Processing and analytics
Elective 2 (Any One) 1) Nonparametric and Nonlinear Regression Models 2) Time Series Analysis
Tools Covered
Hadoop	Colab
Matplotlib	NumPy
Python	R
SPSS	SQL
Apache Hive	KNIME
OpenCV	Pandas
SAS	Spark
TensorFlow	WEKA

2. Chandigarh University Online

The Chandigarh University Online Learning has been approved by UGC-DEB and it is ranked among the top 5% NAAC A+ universities in India. The university is doing great in the field of online education and has a wide range of UG and PG courses to offer. 

– Mode of Education

Online mode through Learning Management System (LMS) 

– Course Fee 

Category	Fee in INR
Semester-wise Fee	30,000/- per semester
Year-wise Fee	60,000/- per year
Total Fee	1,20,000/-

– Eligibility 

For admission in the M.Sc in Data Science course in the Chandigarh University, you must fulfill the following conditions.

• You must have completed your bachelor’s degree in BE/B.Tech/B.Sc (Mathematics or Statistics or Computer Science)/BCA/BA. OR

• You must have an equivalent UG degree with Computer Science or Mathematics or Statistics as one of the subjects from an approved board/university. 

– Selection Procedure 

There is no particular selection procedure as such. If you fulfil the eligibility criteria mentioned above, then you can get admission as long as there are seats available. 

– Why Chandigarh University Online for M.Sc in Data Science?

Following are the reasons why you must choose the online M.Sc in data science program from Chandigarh University Online: 

• The course is highly affordable and there are EMI options as well. 
• The program has built-in internship/job opportunities as they get access to 300+ hiring partners through the job portal. 
• The faculty includes practising data scientists from top IT companies with hands-on industry experience. The curriculum is trendy and has been designed keeping in mind the changing dynamics of the industry. 
• You get exposure to real-world applications of the subject through case studies and projects. 

– Curriculum 

Following is the semester-wise syllabus of the online M.Sc in data science course at Chandigarh University Online. 

Syllabus for M.Sc in Data Science
Semester 1	Semester 2
Advanced Database Management Systems	Advanced Machine Learning
Applied Probability and Statistics	Calculus and Linear Algebra for Data Scientists
Communication and Soft Skills	Data Analysis and Visualisation
Python Programming	Deep Learning
SQL Programming	Machine Learning
Semester 3	Semester 4
Cloud Native Development	Applied Business Analytics
Data Structures and Algorithms	Data Mining and Warehousing
Java Programming	Data Engineering
Optimisation	Natural Language Processing
Web Technologies	Major Project
Minor Project (Software Dev)

3. University of Arizona, USA 

The University of Arizona is a research university situated in Tucson, Arizona. It is a prestigious university in the US that is now offering its Master of Science degree in Data Science through the ed-tech platform UpGrad. It is one of the top 100 global universities, so it is a great chance for Indian students to grab a master’s degree from a foreign university while staying in India. 

– Mode of Education 

Fully Online for 24 months with live as well as recorded video lectures. 

– Course Fee

The total fee of the program is ₹8,85,000/- including GST. The students have the facility of No Cost EMI starting at ₹20,527/- per month.

– Eligibility 

Following are all the eligibility criteria that you must fulfill:

• You must have a bachelor’s degree with at least 50% marks from an accredited university that is recognised by the University of Arizona. (The medium of instruction must be in English)
• The degree must be either 4 years UG or 3 years UG + PG or 3 years UG + PGDM or 3 years UG with at least 120 credit points and earned in 1st Division. 
• The university must be accredited by NAAC with at least an ‘A’ grade. 
• You must have either Mathematics or Computer Science as core subjects in UG.  

– Selection Procedure

Since it is a foreign university, there is a certain selection procedure that you must go through to get admission. 

• You must pass any one of these English proficiency tests- TOEFL, IELTS, CEPT Full Academic, and Pearson PTE Academic.  
• You will also have to give an online entrance exam of 45 minutes that will check your mathematical, aptitude, and programming skills. 
• You will finally have to submit a Statement of Purpose (SOP) of around 500 words at the end of the aptitude test which will be reviewed by UpGrad and the University. 
• If you qualify all of the above tests, you will receive an offer letter confirming your admission.       

– Why University of Arizona via UpGrad? 

• It is one of the 100 best global universities 
• There are No Cost EMI options 
• There are lot of activities for exposure like personalised industry sessions, career bootcamp, exclusive job opportunities portal, masterclasses by Industry Experts, and many more. 
• You will get the status of the alumni of the University of Arizona. 

– Curriculum

The curriculum includes 9 courses and 2 capstone projects. The detailed syllabus is as follows. 

Pre Course Requisites (3 Weeks)	Basics of Python Programming  Basics of R Programming  Fundamentals of Calculus and Probability  Tools Covered: Python and R Programming
Course 1– Data Analysis and Visualisation  (10 Weeks)	Database Design and Introduction to MySQL  Data Structures and Algorithms  Essential Data Science Tools: Github and Jekyll  Functional Programming in Python  Tableau  Tools Covered: Python, MySQL, Tableau, Github, and Jekyll
Course 2– Data Mining and Discovery  (10 Weeks)	Advance Visualisation  Exploratory Data Analysis  Hypothesis Testing with R  Libraries for Data Science: Numpy, Pandas  Inference from Data with R  Tools Covered: R Programming, Numpy, Pandas, Matplotlib, Seaborn, and ggplot
Course 3- Introduction to Machine Learning  (11 Week)	Bagging, Boosting, and Regularisation  Building Linear Regression Models from Scratch  Clustering  Decision Trees  Logistic Regression  Linear Regression practical applications  Model Selection and Feature Engineering  PCA  Random Forest  Tools Covered: Python, matplotlib, and sklearn
Course 4– Data Base Development and Management  (9 weeks)	Introduction to NoSQL  Advance SQL  Tools Covered: MySQL, MongoDB, and NoSQL
Course 5– Data Warehousing and Analytics in the Cloud  (10 Weeks)	Elastics Provision Services of Cloud and Setting up Cloud  Introduction to Cloud  Introduction to HDFS  Introduction to Spark  Hive Querying  SparkML Handling Big Data with Spark  Tools Covered: AWS, Apache Spark, Hive, SparkML, Pyspark, and Spark Streaming
Course 6– Neural Networks  (10 Weeks)	CNN  RNN Introduction to Neural Networks  Computer Vision  Tools covered: OpenCV, Python, TensorFlow, SSD, YOLO, and MaskRCNN
Course 7– Applied Natural Language Processing  (10 Weeks)	Advanced Language Models: BERT, GPT  Introduction to Attention Mechanism  Lexical Processing  Semantic Processing  Syntactic Processing  Tools Covered: NLTK, Python, Spacy, GPT, BERT, and TensorFlow
Course 8– Managing the Digital Information Environment  (10 Weeks)	Building Data Architecture  Data Storytelling  Introduction to Data and Model Lifecycle  Introduction to MLOps  Framework to DS/ML solution building strategy  Structured Problem Solving  Tools Covered: REST API, TensorFlow, Python, Flash, Docker, Kubeflow, and Kubernetes
Course 9– Ethical Issues in Information  (9 Weeks)	Ethics in Data  Ethical Foundations  Ethics in Modelling
Capstone Project 1 (5 Weeks)	Best Practices for Effective Communication  Capstone Project – 1
Capstone Project 2 (5 Weeks)	Capstone Project – 2

4. Liverpool John Moores University, UK

The Liverpool John Moores University is situated in Liverpool, England and is a public research university. It is one of the most prestigious universities in England and in the world, established in 1823. The university offers a Master of Science degree in Data Science in collaboration with IIIT Bangalore through the ed-tech platform UpGrad.

– Mode of Education 

Fully Online for 18 months with live as well as recorded video lectures.

– Course Fee 

The total fee of the program is ₹4,99,000/- including GST. The students have the facility of No Cost EMI starting at ₹11,652/- per month.

– Eligibility 

You must have a bachelor’s degree with at least 50% marks or equivalent from a recognised university. Apart from this, you must also successfully complete the Executive PG Program in Data Science from IIIT Bangalore (online). It is not mandatory for you to have experience in coding.  

– Selection Procedure 

You will have to give a small online test of 17 minutes which will have 11 questions on aptitude, reasoning, and HSC level questions. You will need to get at least 6 right answers. 

You are eligible for direct admission if you have any of the following:

• GRE scores more than 300
• CAT scores more than 90 percentile 
• GMAT scores more than 650
• GATE scores more than 500

– Why LJMU via UpGrad? 

• You have the option to choose from 5 unique specialisations 
• There is dedicated one-on-one career counselling and many other career assistance services like mock interviews.
• Student support of 24 hours for 7 days of the week
• A lot of extra technical skills and soft skills are included in the online course 

– Curriculum  

Apart from the 2 core courses, you can choose any one of the 5 specialisations of your choice. 

Pre-Program Preparatory Content	Analytics Problem Solving  Data Analysis in Excel
Course 1– Data Toolkit  (12 Weeks)	Advanced SQL & Best Practices  Data Analysis using SQL  Data Visualisation in Python  Introduction to Python  Python for Data Science  Programming in Data Science  Credit EDA Case Study  Exploratory Data Analysis  Inferential Statistics  Hypothesis Testing  SQL Assignment: RSVP Movies
Course 2– Machine LEarning- I (10 Weeks)	Basics of NLP and Text Mining Business Problem Solving  Classification using Decision Tress  Linear Regression  Linear Regression Assignment  Unsupervised Learning: Clustering  Case Study: Lead Scoring
Specialization– Deep Learning  (22 Weeks)	Bagging & Random Forest  Model Selection & General ML Techniques  Boosting  Principal Component Analysis  Advanced ML case study  Advanced Regression  Time Series Analysis  Neural Network Assignment  Introduction to Neural Networks and ANN Convolutional Neural Networks  Object Detection & Image Segmentation (Optional)  Convolutional Neural Networks- Industry Applications  Gesture Recognition  Recurrent Neural Networks  Capstone Project
Specialization– Natural Language Processing  (22 Weeks)	Bagging & Random Forest  Model Selection & General ML Techniques  Boosting  Principal Component Analysis  Advanced ML case study  Advanced Regression  Time Series Forecasting  Neural Nets for NLP  Syntactic Processing  Syntactic Processing Assignment  Applied DL in NLP  Semantic Processing  Case Study- Automatic Ticket Cassification  Capstone Project
Specialization– Business Analytics  (22 Weeks)	Bagging & Random Forest  Time Series Forecasting  Model Selection & General ML Techniques  Model Selection Case Study  Visualisation using Tableau  Visualisation using PowerBI Advanced Excel  Data Storytelling  Structured Problem Solving using Frameworks  Data Architecture  AirBnB Case Study  Data Strategy  Operations Research in Excel  Business Case study  Capstone Project
Specialization– Business Intelligence/Data Analytics  (22 Weeks)	Advanced SQL and Best Practices  Analytics using Spark  Data  Modelling  Introduction to Big Data and Cloud  Big Data Case Study  Advanced Excel  Visualisation using Tableau  Visualisation using PowerBI  Structured Problem Solving using Frameworks  Data Structures- Sets, Dictionaries, Queues, Stacks Data Storytelling  AirBnB Case Study  Searching and Sorting  Advanced Database Programming using Pandas  Algorithm Analysis + Recursion  Python & SQL Lab  Capstone Project
Specialization– Data Engineering  (22 Weeks)	Data Management and Relational Database Modelling  Introduction to Cloud and AWS Setup  Introduction to Big Data (Optional)  Introduction to Hadoop and MapReduce Programming  NoSQL Databases and Apache HBase and NoSQL Databases and MongoDB (Optional) Data Warehousing (Optional) Map reduce Programming Assignment  Data Ingestion with Apache Sqoop and Apache Flume  Hive & Querying  Amazon Redshift  Introduction to Apache Spark  AWS Cloud Infrastructure (Optional) Project: ETL Data Pipline  Optimising Spark for Large Scale Data Processing  Real-Time Data Processing using Spark Streaming Apache Flink (optional)  Real-Time Data Streaming with Apache Kafka  Buillding Automated Data Pipelines with Airflow  Analytics using PySpark  Project- Real Time Data Processing  Capstone Project
Research Methodologies  (8 Weeks)	Introduction to Research and Research Process  Literature Reviewing  Research Design  Report Writing and Presentation Skills  Research Project Management  Scientific Ethics
Master’s Dissertation  (16 Weeks)	Developing a recommender system for a Media giant  Investigate a diagnosis of eye diseases using imaging opthalmic data  Risk modelling for financial activities and investment banking  Using social media feed to place tweets regarding natural disasters on a map  Structure medical images with information geometry  Preventing credit card fraud through pattern recognition  Investigate dietary patterns and mettabolite fingerprints of takeaway (fast) food consumers using PCA and Clustering methods

5. Northwestern School of Professional Studies

The Northwestern School of Professional Studies (SPS) is one of the schools of the prestigious Northwestern University. The university offers an online Master of Science in Data Science degree program through the ed-tech program Great Learning.   

– Mode of Education 

Fully online for 18 months with live as well as recorded video lectures. 

– Course Fee 

The total fee for the entire course is USD 13,000. You have the option to pay the fee in 6 equal instalments of USD 2,167. There are additional fees which are as follows: 

• USD 35 each for the 3 online proctored examination
• In case of those students going for the immersion program, the cost of travelling and accommodation has to be taken care of by the student themselves. 

– Eligibility

The students must have a 4 year bachelor’s degree. If you have a 3 year bachelor’s degree then it must be equivalent to a 4 year US degree.  

– Selection Procedure 

The students have to just submit an online application form. The admissions authority at the Northwestern University will review these applications and select candidates. 

– Why Northwestern School via Great Learning? 

• Northwestern School has been rannked among top 10 US universities by US News & World Report 2020
• The university offers placement process dedicated for enrolled students 
• The curriculum is quite advanced with the right blend of theory and practical aspects of Data Science
• The students will get membership to alumni clubs of the prestigious Northwestern University 

– Curriculum  

Foundation Courses	Math for Data Scientists  Data Science in Practice  Applied Statistics with R  Python for Data Science  Decision Analytics  Supervised Learning Methods  Practical Machine Learning Data Governance, Ethics, and Law  Database Systems and Data Preparation
Artificial Intelligence Coursework	Artificial Intelligence & Deep Learning  Natural Language Processing
Tools & Languages Covered	R Python  SQL Pandas
Capstone Project

6. Amity University, Jaipur   

Amity University is one of the top private universities in North India and it has been growing exponentially. The university has been approved by the UGC. The Amity Institute of Information Technology, Jaipur campus offers the M.Sc in Data Science course on a full-time basis. 

– Mode of Education

Offline, 2 years full-time regular course.    

– Course Fee 

The total fee for the first year is INR 0.61 Lacs. 

– Eligibility 

The candidate must have a bachelor’s degree in any discipline but with Mathematics as a core subject in 10+2+3. The candidate must have passed the 10+2+3 with at least 55% marks or equivalent. 

– Selection Procedure 

The students will be first shortlisted based on their merit in their qualifying examination. The shortlisted students will be called for a personal interview. Those who score well in the interview will then be selected for the course. 

– Why Amity University for M.Sc in Data Science?

• The university is one of the finest private universities in India and has been recognised by UGC and has received A+ Grade by NAAC. 
• The university has great networks worldwide and hence offers global exposure to students. 
• The faculty is quite supportive and offers personalised mentoring as well. 
• The curriculum is designed by active data scientists and other relevant experts to make it industry-oriented.    
• Curriculum 

Following is the semester-wise syllabus for the M.Sc in Data Science course at Amity University. 

Syllabus for M.Sc in Data Science at Amity University
Semester 1	Semester 2
Data Science-I	Data Engineering
Probability and Statistical Structures	Data Science-II with R
Programming with Python	Linear Algebra and Matrices
Data Warehousing and Mining	Data Science-II with R Lab
Data Science-I Lab	Data Engineering Lab
Programming with Python Lab	Business Analytics
Data Warehousing and Mining Lab	Data Visualisation + Lab
Communication Skills-I	Image Analytics + Lab
Behavioural Science-I	Pattern Recognition
Workshop/Social Work Report	Minor Project
Semester 3	Semester 4
Machine Learning and Deep Learning + Lab	Project Work
Optimisation Techniques	Internship
Natural Language Processing + Lab
Data Science Products Development
Artificial Intelligence + Lab
Big Data Analytics
Big Data & Analytics using R + Lab
Minor Project
Summer Internship Project
Paper Presentation Report

7. VIT, Vellore

Vellore Institute of Technology (VIT), Tamil Nadu has been ranked as the 12th best Engineering institution in India by NIRF. VIT is one of the finest private universities in India when it comes to technical education. The institute has been recognised and approved by UGC. 

– Mode of Education 

Offline, 2 years full-time regular course.

– Course Fee 

Total Academic Fee	₹1,60,000/-
Caution Deposit (Refundable for only 1st year)	₹2000/- per year

– Eligibility 

• The candidate must have a bachelor’s degree in Mathematics/Physics/Computer Science/Statistics with at least 60% marks or equivalent. OR

• The candidate must have a bachelor’s degree in Technology or Engineering in IT/CSE/EEE/ECE/E&I with at least 60% marks or equivalent.

–  Selection Procedure 

The students are selected on the basis of their merit in their respective qualifying examinations. 

– Why VIT for M.Sc in Data Science & Analytics? 

• VIT is considered an elite institution when it comes to engineering and technology. It is at par with most of the IITs in the country as it was ranked the 12th best engineering college by NIRF. 
• The faculty is top-notch and also one of the best in the country. 
• The university has a 100% placement record with big corporations like Microsoft making 7 offers according to their latest placement report. 
• Even though VIT is an expensive institution, the M.Sc in Data Science course is quite affordable so it is a great chance for you to study at one of the best institutions in the country.  

–  Curriculum 

Following is the detailed syllabus of the M.Sc in Data Science course at VIT, Vellore.

Syllabus for M.Sc in Data Science & Analytics at VIT
University Core Subjects	Program Core  Subjects
Foundations of Data Science	Matrix Theory and Linear Algebra
Science, Engineering, and Technology Project-I	Multivariate Data Analysis
Science, Engineering, and Technology Project-II	Probability Theory and Distributions
Science, Engineering, and Technology Project-III	Regression Analysis and Predictive Models
Research Methodology	Statistical Inference
Master’s Thesis	Time Series Analysis and Forecasting
Essentials of Business Etiquettes- Soft Skills	—
English for Science and Technology/French/German	—
Preparing for Industry	—
Program Elective Subjects	University Elective Subjects
Actuarial Statistics	Data Mining and Business Intelligence
Artificial Intelligence for Data Science	Exploratory Data Analysis
Computational Statistics for Data Science	Statistical NLP
Data Mining and Information Security	Neural Networks and Fuzzy Systems
Bio-Statistics	—
Design and Analysis of Experiments	—
Deep Learning	—
Programming for Data Science	—
Machine Learning for Data Science	—
Optimisation Techniques	—
Programming for Data Analysis	—
Statistical Quality Control	—
Reliability and Survival Analysis	—
Stochastic Process and Applications	—
Queuing Theory and Network Analysis	—
Statistical Computing for Data Analysis	—
Exploratory Data Analysis and Visualisation	—
Statistics for Managers	—

8. SASTRA University, Thanjavur

SASTRA Deemed University is a high-ranking university in the field of engineering. It has consistently been ranked among the top engineering universities by NIRF. The university has also been featured in International Rankings. 

– Mode of Education 

Offline, 2 years full-time regular course. 

– Course Fee 

Tuition Fee per semester	₹20,000/- per semester
Other Fees	₹4,750/-
Total Fee	₹84,750/-

– Eligibility 

The candidate must have completed their 10+2+3 or equivalent from a recognised higher education institution. 

– Selection Procedure 

The students are selected based on their marks in their last qualifying examination. 

– Why SASTRA University for M.Sc in Data Science? 

• The course structure is very well organised and curated keeping in mind the latest career needs and technological advancements.  
• The faculty is highly experienced especially in the field of science and technology. 
• The university has amazing research facilities of various forms if the students wish to further go into the field of research. 

– Curriculum 

Syllabus for M.Sc Data Science at SASTRA
Semester 1	Semester 2
Artificial Intelligence and Reasoning	Big Data Mining & Analytics
Data Mining Techniques	Ethics & Data Security
Mathematics for Data Science	Machine Learning
Probability & Statistics using R	Predictive Analytics Regression & Classification
Python for Data Science	Elective I
RDBMS, SQL, & Visualization + Lab	Elective II
	Research Methodology & IPR
Semester 3	Semester 4
Deep Learning & Applications	Project Work
Machine Vision	Viva Voce
Spatial Data Analytics
Elective III
Elective IV
Open Elective
Project Phase-I
Network Science Laboratory
List of Electives
Elective I	Elective II
Algorithmic Trading	Healthcare Data Analysis
Bayesian Data Analysis	Data Science for Structural Biology
Financial Data Analysis
Elective III	Elective IV
Applied Multivariate Analysis	Energy Systems Modelling & Analysis for Data Science
Epidemiological Modelling	Image Processing & Analysis
Information Visualisation	Information Retrieval & Natural Language Processing
Social Networks & Graph Analysis	Speech & Video Processing

9. Christ University, Bangalore 

Christ Deemed to be University is a popular and prestigious university situated in Bangalore. The university has been approved by AICTE and accredited by the National Board of Accreditation (NBA). 

– Mode of Education

Offline, 2 years full-time regular course. 

– Course Fee  

There is an admission registration fee of INR 5,000/- which is non-refundable. 

Student Category	Year 1	Year 2
Karnataka	INR 1,60,000/-	INR 1,60,000/-
Other Indian States	INR 1,70,000/-	INR 1,70,000/-
NRI	INR 2,12,000/-	INR 2,12,000/-
SAARC / AFRICA / PIO / OCE / ASEAN	USD 4,000/-	USD 4,000/-
Other Foreign Nationals	USD 4,500/-	USD 4,500/-

– Eligibility 

The students must fulfill any one of the following two eligibility criteria:

• A bachelor’s degree in Computer Applications (BCA) OR
• A bachelor’s degree in Science stream any two of Computer Science/Mathematics/Statistics as core subjects. 

– Selection Process 

The selection procedure includes a micro presentation (MP) where the student is given a topic by the panel on which the student has to speak for 90 seconds. The MP is followed by a personal interview (PI) round whose duration is around 15 minutes. Those who pass these two rounds will get admission. 

– Why Christ University for M.Sc in Data Science?

• The curriculum is designed in a way that it enhances the practical skillset of the students with a research bent. 
• The course allows students to gain hands-on experience of the important data science tools and relevant domains. 
• Seminars, guest lectures, internships, and projects provide relevant exposure to industry standard applications and research models. 

– Curriculum

Semester 1	Semester 2
Mathematical Foundation for Data Science- I	Mathematical Foundation for Data Science- I
Programming for Data Science in Python	Programming for Data Science in R
Probability and distribution theory	Regression Analysis
Inferential Statistics	Internet of Things
Principles of Data Science	Multivariate Analysis
Database Technologies	Image and Video Analytics
Research Methodology	Stochastic Process
Linux Administration	Hadoop
Introduction to Statistics	Machine Learning
Introduction to Computers and Programming	Categorical Data Analysis
Semester 3	Semester 4
Neural Networks and Deep Learning	Industry Project
Optimisation Technique
Time Series Analysis and Forecasting Techniques
Evolutionary Algorithms
Bayesian Inference
Bio Informatics
Econometrics
Web Analytics
Bio-Statistics
Natural Language Processing
Java Programming
Cloud Analytics
Specialisation Project
Seminar

10. GITAM

The Gandhi Institute of Technology and Management (GITAM) was established in 1980 and has various campuses. The institute has been approved by AICTE and has A+ Grade accredited by NAAC. The Visakhapatnam and Hyderabad campuses of GITAM offer the M.Sc in Data Science course. 

– Mode of Education 

Offline, 2 years full-time regular course.

 – Course Fee

The total fee for the course is INR 2,50,000/-  

– Eligibility 

The students must fulfil any one of the following two eligibility criteria. 

• A bachelor’s degree in BCA or B.Sc with at least 50% aggregate marks or equivalent. OR

• A bachelor’s degree in any other stream but with either Mathematics, Statistics, or Computer Science as one of the core subjects.   

 – Selection Procedure

The students will have to appear for the All India level GITAM Science Admission Test (GSAT) which is conducted by GITAM university. Only those students who clear the cutoff of this exam will be given admission. 

– Why GITAM for M.Sc in Data Science? 

• The curriculum focuses on in-depth knowledge and practical & interpersonal skills to prepare students in the field of Data Science and allied courses.
• The curriculum is industry-oriented and hence teaches students to handle real-life problems. 
• The focus of the program is for students to select and apply the appropriate methods and tools accurately. 
• The faculty is quite experienced in the field of data science. 

– Curriculum

Semester 1	Semester 2
Introduction to Modern Databases	Professional Communication Skills
Statistics-I	Statistics- II
Python Programming and Data Visualisation	Web Programming
Artificial Intelligence	Data Mining
Venture Discovery	Mathematics for Data Science
Internet of Things OR  Introduction to Programming in MATLAB	Data Security and Privacy
Modern Databases Lab	Web Programming Lab
Python Programming Lab	R Programming Lab
Semester 3	Semester 4
Machine Learning	Project Work
Design of Experiments
Big Data Analytics
Generic Elective- I 1) Web Analytics  2) High Performance Computing  3) Fundamentals of BlockChain Technologies   4) Data Storage Technologies and Networking
Generic Elective- II 1) Cloud Computing   2) Computational Biology  3) Natural Language Processing    4) Deep Learning
Machine Learning Lab using Python
Data Analytics Lab
Industrial Training & Seminar

These were the top 10 colleges for M.Sc in Data Science & Analytics. However, there are a few other colleges that we could not ignore. The following 3 colleges also offer the M.Sc in Data Science course. These colleges are also great options with affordable fees and can be considered as well. 

Fergusson College, Pune

Fergusson College is an autonomous public-private college affiliated to Savitribai Phule Pune University. The college is quite a prestigious one and has been awarded the UGC Special Heritage Status. The college also has been accredited A grade by NAAC.  

– Mode of Education 

Offline, 2 years full-time regular course.

– Course Fee 

Student Category	1st Year Fee
Students from Maharashtra	INR 83,650/-
Students from Other States	INR 1,38,430/-

– Eligibility 

The student must have a bachelor’s degree in Science or a BE/B.Tech degree. 

– Selection Procedure 

The student has to appear for an entrance examination conducted by the college. The college then releases a merit list based on the scores in this entrance exam and the scores of the last qualifying exam. 

– Why Fergusson College for M.Sc in Data Science? 

• The curriculum is industry as well as job oriented. 
• The program structure is quite flexible. 
• The university also provides access to certain relevant MOOC courses for self-learning and flexibility. 

– Curriculum 

Semester 1	Semester 2
Applied Linear Algebra	Machine Learning
Database Management System	Statistical Inference
Data Structures	Mathematical Foundation
Probability and Statistics	Design and Analysis of Algorithms OR Soft Computing OR MOOCS – I
Data Science Practical – I (R Programming)	Data Science Practical – III (Machine Learning using R)
Data Science Practical – II (Data Structures and RDBMS)	Data Science Practical – IV (Python for Data Science)
Semester 3	Semester 4
Big Data Engineering	Industrial Training  (Full-time internship)
Optimisation Techniques
Deep Learning
Data Science Case Studies OR Artificial Intelligence OR MOOCS – II

Loyola College, Chennai

Loyola College is a prestigious one that was established way back in 1925. It is an autonomous college affiliated with the University of Madras. The college was ranked 3rd among 100 colleges in India by NIRF and has received the A++ grade by NAAC. 

– Mode of Education 

Offline, 2 years full-time regular course.

– Course Fee 

The M.Sc in Data Science course at Loyola College is in a self-financed category and the total fee of the program is INR 1.64 Lac. 

– Eligibility 

You must have a bachelor’s degree in B.Sc or BCA with either Mathematics, Statistics, or Computer Science as one of the core subjects. 

– Selection Procedure 

The students will have to appear for the PG Entrance Examination conducted by the college on campus and score well in the exam to get a place on the merit list. 

– Why Loyola College for M.Sc in Data Science?

• The university offers great exposure to the field of data science. 
• The curriculum focuses on providing a strong foundational base so that students can build their own customised data science algorithms. 
• The curriculum includes many guest lectures by experts from the industry, intense lab sessions, and discussions on case studies for the holistic development of the students. 

– Curriculum

Semester 1	Semester 2
Fundamentals of Mathematics	Big Data Analytics
Foundations of Data Science	Statistical Inference
Machine Learning	NoSQL Databases
Python for Data Science	Research Methodology
Statistics and Probability	NoSQL Databases- Lab
Machine Learning- Lab	Big Data Analytics- Lab
Python for Data Science- Lab	Elective 1A- Financial Analytics
	Elective 1B- Health Analytics
	Self study course- Online
	Cross Disciplinary: Data Analytics/ Visualisation
	Life Skill- SHE Dept
	Internship
Semester 3	Semester 4
Cloud Computing	Project Architecture Planning
Deep Learning	Project Coding, Testing, & Implementation
Multivariate Data Analytics	Project Data Engineering
Cloud Computing Lab
Deep Learning Lab
Elective 2A- Natural Language Processing
Elective 2B- Reinforcement Learning
MEAN Stack
Service Learning Dept Course
Soft Skill – SHE Dept
Value added course

Kalasalingam University, Tamil Nadu

The Kalasalingam Academy of Research and Education (KARE) Deemed to be University was established in 1984 and has been serving since then in the fields of Engineering, Technology, Sciences, and Humanities. 

– Mode of Education 

Offline, 2 years full-time regular course.

– Course Fee 

Application Fee	INR 600/-
Annual Fee	INR 50,000/- per year
Total Fee	INR 1,00,600/-

– Eligibility 

The student must have a bachelor’s degree in Science stream with relevant core subjects with at least 60% marks or equivalent. 

– Selection Procedure 

The students will be selected on the basis of the merit obtained by the student in their qualifying exam. 

– Why KARE for M.Sc in Data Science?

• The university is accredited by AICTE, NAAC, and NBA and is well recognised. 
• The university has ranked 4th in UI GreenMetric rankings. 
• More than 61% of the faculty hold PhDs, which indicates that the university focuses on research-based learning in both theoretical and practical aspects. 
• The placement record of the university is quite good and students have been placed in big corporates.  

– Curriculum 

Semester 1	Semester 2
Advanced Database Management Systems	Big Data Analytics
Data Structures and Algorithms	Python Programming
Foundations of Data Science	Machine Learning
Linear Algebra and its Applications	Optimisation Techniques
Statistical Methods	Probability Distributions
Data Structures Lab	Elective I
R Programming Lab	Data Analytics Lab
	Machine Learning Lab
Semester 3	Semester 4
Applied Statistics	Elective Paper – III (Online Courses)
Cloud Computing	Project and Viva Voce
Deep Learning
Research Methodology
Elective – II
Data Visualisation Techniques
Deep Learning Lab
Seminar and Comprehensive Viva

Placement After M.Sc in Data Science

In case of online education, the online university offers complete placement assistance to their students. The placement cell of the university actively works towards connecting students with prospective employers. In order to do so, they offer various placement services and skill enhancement programs to prepare students to ace recruitment processes. 

These services include assessing the skills of each student and then training them accordingly. The educators provide personalised career counselling to students to guide them onto a bright future path. The universities have tie-ups with various eminent hiring partners to help students connect with relevant employers. 

In case of offline education, most of the colleges conduct placement drives wherein they invite various companies to recruit students from their college. These universities also offer placement training before the drives are conducted to help students prepare well to get placed. 

If the university is well reputed and well connected, then most of them conduct placement drives for summer internships as well. So, before you take admission, you must check the placement records of the university. It is better to take admission to a university with consistent 100% placement records. 

While in the case of an online university, you must check the kind of placement assistance services offered. You can just visit College Vidya and get all the details about any online university in India. You will not only get information related to placement assistance but also all the other information regarding the courses, the approvals and accreditations, the eligibility, fee structure of each course, and everything else you should know.  

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