M.Sc In Data Science - Syllabus, Fees, ROI, Colleges 2025

Want to work in the field of data science? Do you want to have a thorough understanding of data by applying statistical analysis, machine learning algorithms, and programming to solve complex problems across various industries? Then you’ve come to the right place; this blog has answers to all your queries.

If you are a graduate with a technical background or equivalent, then pursuing a Master of Science in Data Science is one of the great decisions you’ll make after your graduation. An MSc in data science is a postgraduate degree that equips you with a thorough knowledge of computer science, data collection, statistical learning, programming language, data visualization, data manipulation, and many more. 

The program is highly beneficial for those who are already working as a professional and want to pursue higher education in the field of data science. Many universities in India as well as abroad offer MSc in data science in online mode for student’s conveniency and flexibility.

In this mode, one can attain an entire master’s degree from their comfort zone without quitting their work responsibilities. An online mode of MSc in Data Science is a whole package as it offers a lot of perks not only from the mode but the syllabus is designed in such a way that covers all the necessary topics. This way, students will not miss a single detail of the program. Both the Online and on-campus modes of the program are equally recognized and respected by the recruiters. 

Most regular students are now considering pursuing a degree online mode as they can earn an additional skill at the same time, which will eventually prepare them for the best and enhance their resume in front of recruiters.

Meanwhile, for working professionals, the degree itself is a way for them to grow professionally. If you’re someone who is struggling while choosing the mode of the program, then it is a must to compare both modes, which is given in the blog as well as it depends entirely on an individual’s choices and preferences. 

What is Data Science?

Data science involves looking into data to gather insights that can make businesses flourish. This field combines varied domains, like statistics, mathematics, computer engineering, artificial intelligence, and much more, to analyze voluminous data.

The responsibility of data scientists is quite wide-ranging, including the application of statistical methods to elicit meaning from data through the use of graphs and charts and the development of a machine-learning algorithm that allows a computer to learn from the data. They also use AI to enable machines to improvise. 

One needs skills in statistics, programming, data manipulation, machine learning, natural language processing, big data, and cloud computing to have a successful career in data science. It is a convention that the demand for data scientists is greater; with decent pay and benefits, there would be plenty of opportunities in the job market. With training in data science, people can pursue careers in IT, such as becoming data analysts, web developers, or database administrators, and find working opportunities in any more fields. 

Why Study an MSc in Data Science? 

A Master's degree in Data Science is a great choice. The most in-demand skills therein would include data analysis, machine learning, and data visualization.

This program prepares you for real-world problem-solving and gives you a competitive edge in highly oriented industries such as healthcare, finance, technology, and retail.

MSc in Data Science Eligibility Criteria (India)

Eligibility Criteria for On-campus MSc in Data Science

Data science is a burgeoning field with many career opportunities and attractive compensation. You're going to learn programming languages like Python and R, alongside statistical analysis and data visualization techniques. These will enable you to extract meaningful conclusions from your array of data and change the face of business later on. Second, a master's in data science opens the doors to leadership positions and the option for specialization in big data or artificial intelligence. Most of the programs will offer 'project work', giving you practical experience that is very important in today's job market.In summary, getting such a degree is an investment in your future. It's a preparation to make a significant impact in a multitude of sectors. Admission for the M.Sc Data Science is reserved for candidates who meet the eligibility criteria.

Candidates must have gotten a bachelor's degree in mathematics, statistics, or computer science, with at least a 50% aggregate, from recognized universities, in minimum eligibility for the master's degree.The cut-off age for pursuing a Master's in Data Science is none. Anyone because he/she is eligible can apply. Besides passing that, students are expected to qualify for other national-level exams as well as entrance tests offered by colleges for admission. 

Eligibility Criteria for Online MSc in Data Science 

To be eligible, candidates need a bachelor's degree of at least three years in fields like Statistics, Mathematics, Computer Science, Engineering, or Technology, with at least 50% aggregate marks (45% for reserved categories) from a recognized institution.Studying two years of Mathematics or Statistics is required, and work experience is preferred.

For those looking to pursue an online M.Sc in Data Science, a degree such as B.A, BCA, B.Sc. (in Statistics, Mathematics, or Computer Science), or B.E/B. Tech is needed. It’s also best to have graduated from a recognized university, and while work experience isn’t mandatory, it’s advantageous.

MSc in Data Science Admission Procedure 

To get enrolled in an MSc in data science there are some steps that you need to follow which are explained here:

• Step:1 Fill Out the Application Form

Start by completing the application form with your details.

• Step:2 Share Your Academic Transcripts:

Submit your school records, which should reflect the grades you earned in your previous studies.

• Step:3 Gather Letters of Recommendation:

Request positive letters from a few teachers or employers who can vouch for your skills and character. These recommendations should bolster your application.

• Step:4 Write Your Statement:

Take some time to craft a brief essay explaining your interest in the program and what you hope to gain from it. This is your opportunity to share your personal story!

• Step:5 Submit Test Scores (if required):

Some programs may ask for GMAT, GRE, or other standardized test scores. Make sure to verify whether this is a requirement for the program you're applying for.

• Step:6 Create Your Resume: Prepare a resume that outlines your work experience, particularly any roles related to business or analytics.
• Step:7 Demonstrate Your Skills in Programming and Maths (if required)

Certain programs may expect you to have some proficiency in programming languages and mathematics. Be sure to check the specific requirements.

• Step:8 Review Additional Requirements:  

Each school may have slightly different application processes, so take a moment to read through their specific instructions.Most programs look for a solid background in mathematics and analytical skills, so don't hesitate to highlight these in your application.

Is an MSc in Data Science Worth It?

A Master's in Data Science is a strategic investment for anyone looking to step into the dynamic world of data-driven decision-making. With an increasing demand for skilled data professionals by employers, this degree offers a clear insight into a range of professional career opportunities for individuals such as data scientists, analysts, engineers, and business analysts. 

You will acquire the skills to collect, analyze, and interpret large datasets, which are useful skills that all employers wish to see. A degree in data science puts you on track for long-term success because the projected growth of data science careers outpaces that of almost all other occupations; this isn't only great news for transition careers, even other than STEM.

It is a solid foothold in a field that grows in arms and legs, reaching into industries that drive the world economy. 

Online MSc in Data Science vs On-campus Data Science

Online MSc in Data Science	On-campus in Data Science
You can study whenever and wherever you want. This is perfect for those working or with other commitments.	You will have to go by a set schedule with less flexibility and be present on occasions on campus.
An online course is generally cheaper because there is no physical campus to maintain.	Usually, higher costs are due to expenses for on-campus facilities and in-person classes.
You will miss out on the opportunity for in-person connections, though, but online conversations are always there to bridge the gap.	Will meet classmates and professors face-to-face, and this makes it easier to build relationships and network.
You can schedule your studies around your day; motivation is, therefore, your own responsibility.	You can benefit from a structured experience with in-person classes, which may help you remain focused and on track.
From campus labs to specialized equipment, none of those resources are available to you but due to the advanced technologies, this will not be an issue.	This will allow you access to all the on-campus resources, which might be quite helpful for hands-on learning.
It suits you if you are a working professional and need the flexibility to juggle work commitments with your education.	It's excellent for students who prefer face-to-face learning, those looking for networking opportunities, and more.

 

MSc in Data Science Entrance Exams 2025

MSc in Data Science is a postgraduate degree that, if pursued in regular mode, one must clear a few entrance exams to get admission. Most of the top colleges ask for the entrance exam in order to have serious students only.

However, if you want to pursue the program online, there is no need to take any sort of entrance exam.

Below is the list of entrance exams one must know about :

MSc in Data Science Best Colleges 

Pursuing a degree from a university isn’t enough, pursuing a degree from a well-recognized university is. For you to choose the best, here is the list of regular colleges with the fees and approvals for program authentication. 

Best On-campus Colleges for MSc in Data Science	Fees (INR)	Approvals
BITS Pilani	INR 2.5 lakhs	UGC, NAAC
Christ University	INR 3.6 lakhs	UGC, NAAC, AICTE
MIT World Peace University (MIT-WPU)	INR 85,000	UGC, AICTE, NBA
SVKM's Mithibai College of Arts	INR 2 lakhs	UGC, AICTE, NAAC
St. Xavier's College (Autonomous) - Kolkata	INR 1.80 lakhs	UGC, NAAC

These days, everybody is looking for the best alternatives that will help them get enrolled in multiple academic activities for better future opportunities.

The online mode of an MSc in data science could be a smart choice as it gives you the privilege of doing multiple tasks at one time. Take a look here at the best online MSc in data science with all the approvals and fees. 

Best Online Colleges for MSc in Data Science	Fees (INR)	Approvals
MAHE Online M.Sc in Data Science	INR 70,000 (per sem)	UGC, AICTE
O.P Jindal Global University	INR 2.75 lakhs	UGC, NAAC
Amity Online MSc in Data Science	INR 2.50 lakhs	NAAC, WES, UGC
Chandigarh Online M.Sc in Data Science	INR 27,500 (per sem)	UGC, AIU, IAU, NAAC A+

Mode of Examination

• On-campus mode:Examinations of MSc in data science are a combination of semester-based that include theory (written) practical, assessments, project work, few online computer tests. These examinations usually take place at the university premises, where students need to be available as per the given schedule by the university. Descriptive answers, coding assignments, data analysis projects, presentations, reports, and many more are some of the basic key aspects of this examination in on-campus mode. 
• Online mode:As it is already very much cleared of the mode of examination exams must be conducted online only. Universities usually conduct these exams on their official website for more privacy. This way universities can ensure the authenticity of the answer papers by using advanced methods. 

Syllabus

In order to understand the program thoroughly, one must be aware of the curriculum very well, as it gives you clarity on the subjects that eventually help you in making informed decisions.

MSc in data science generally consists of subjects like cloud development, data analysis, web technologies, programming languages, and many more. The given syllabus is the general syllabus for an MSc in data science, it may vary from university to university. 

Syllabus for MSc in Data Science (General)
Semester 1	Semester 2
Advanced Database Management Systems  Applied Probability and Probability  Distribution  SQL Programming  Python and R Programming  Computational Mathematics  Statistical Inference	Calculus and Linear Algebra for Data Scientists Data Analysis and Visualisation  Distributed Algorithms & Optimisation with Hadoop, Spark  Advanced Machine Learning  Deep Learning  Stochastic Processes
Semester 3	Semester 4
Cloud Native Development  Data Structures and Algorithms  Java Programming  Optimization  Web Technologies  Bayesian Statistical Modelling  Longitudinal Data Analysis  Minor Project	Natural Language Processing  Applied Business Analytics  Data Engineering  Data Mining and Warehousing  Programming in SAS for Analytics  Research Methodology  Major Project

Career Outcomes 

Now, let’s analyze the career outcomes one can have after the completion of the degree. As you are now well aware, the basic to advanced levels of MSc in data science as a whole. Take a look here at the job roles and average annual salary of the MSc in data science. These are some of the popular job roles in the program. 

Job Roles	Average Annual Salary
IT Analyst	INR 9 to 15 LPA
Network Analyst	INR  2 to 9 LPA
Quality Assurance (QA) Engineer	INR  7 to 11 LPA
Information Security Analyst	INR 3 to 14 LPA
Machine Learning Engineer	INR 3 to 23 LPA
Data Engineer	INR 7 to 21 LPA
Marketing Analyst	INR 5 to 12 LPA
Marketing Manager	INR 2 to 25 LPA
Project Manager	INR 4 to 18 LPA
Consultant	INR 4 to 11 LPA
Management Consultant	INR 19 to 27 LPA
Operations Analyst	INR 2 to 8 LPA
Supply Chain Manager	INR 3 to 30 LPA

As you are now aware of the job roles and salaries of the MSc in data science, let’s take a look here at the list of top companies offering placements after the MSc in data science. These are the top companies and the dream organizations of most of these postgraduates. 

List of Top Companies Offering Placements After MSc in Data Science
Accenture	Mastercard
Asda Wal-Mart	Merkle | Argyle
Bank Indonesia	Morgan Stanley
Centrica	National Center for Climate Change Strategy and International Cooperation
Deloitte	Natwest
EY	NielsenIQ
Ford Motor Company	Phoenix Group
Kaizen Reporting	PPD Development
KPMG	SAS
Lloyds Banking Group	SJF Hanse Scientific GmbH

If you’re someone who wants to have a career outside your home country, then this section is for you, these are the top countries where postgraduates usually get placements. 

Top Countries to Get Placed at
Argentina	USA
Canada	United Kingdom
Colombia	Malaysia
Cyprus	Mexico
France	Nigeria
Germany	China
Greece	Sudan
India	Taiwan
Indonesia	Turkey
Kazakhstan	United Arab Emirates

MSC in Data Science Abroad

An MSc in data science (abroad) is a postgraduate degree that one can pursue after the completion of an undergraduate degree. The program equips students with skills like data analysis, machine learning, data visualization, and many more.

Pursuing a master's degree out of your home country could be a one-time choice as it can give you a life-changing experience living in a completely different environment and getting hands-on experience in extracting valuable insights from huge data in sectors like healthcare, finance, technology, business, government websites and many more.

Below are some of the abroad places one can pursue a master of science (MSc) in data science:

Eligibility 

To apply for an on-campus MSc in Data Science, you need:

To be considered for an on-campus MSc in Data Science, you generally require a Bachelor's degree in a related subject area like computer science, mathematics, statistics, engineering, or something similar.

Most programs require you to score, at minimum, 50% in your degree, but that may differ based on the university you are applying to.

Some of the prerequisites include data analysis skills, knowledge of programming in one or more languages like Python, and familiarization with basic mathematics. They want someone comfortable with numbers, coding, and dealing with data. 

To apply for the online MSc in Data Science, you need:

Candidates who wish to be considered for the MSc in Data Science must have a Bachelor's degree in B.A, BCA, B.Sc. (Mathematics, Statistics, and Computer Science), or B.E./B.Tech.

Besides, students with degrees other than the above may be considered if the other requirements are satisfied. Suitable subjects include Computer Science, Mathematics, or Statistics from a recognized university or board.

This guarantees that you will possess the appropriate background needed while pursuing Data Science:

1) MSc Data Science in the UK

Some of these universities offering MSc Data Science programs include: King's College London, University of Hertfordshire, and University of London. You should possess a Bachelor's degree in a related subject, preferably achieving percentages higher than 50%.

Other talents you might consider acquiring include mathematics (statistics or computer programming), knowledge of Computer Science, and the ability to converse in the English language.

The course is quite interesting and includes databases, statistical thinking, and programming with languages such as Python. You will engage in data modeling, data science, and machine learning.

Data visualization is a very important element of the course together with learning to address challenges inherent in big data. A carefully balanced approach to give you a good grounding in the world of Data Science. 

Top Colleges (on-campus)	Fees
Imperial College London	INR 27 LPA
Durham University	INR 38 LPA
University of Kent	INR 27 LPA
University of Leeds	INR 35 LPA
University of Strathclyde	INR 30 LPA
Alliance Manchester Business School	INR 29 LPA
Lancaster University	INR 35 LPA
Loughborough University	INR 31 LPA
University of Warwick	INR 41 LPA
University Of Edinburgh	INR 36 LPA
Aston University	INR 25 LPA
University of Manchester	INR 30 LPA

Top Colleges (online)

Top Colleges (online)	Fees
University of Bath	INR 2.7 LPA (each year)
Imperial College Business School	INR 47 Lakhs
Aston University	INR 14 Lakhs
The University of Law	INR 27 LPA (each year)
Robert Gordon University	INR 5 LPA (each year)
Heriot-Watt University	INR 11 Lakhs
University of Strathclyde	INR 34 Lakhs

2) MSc Data Science in Ireland

An MSc in Data Science in Ireland allows one to delve deeper into data analysis, machine learning, and data visualization. Through the program, one will be working with huge datasets to develop valuable insights and solve real business challenges.

To add to the positives of the program, one has numerous projects and internship opportunities to work on and thus gain experience to hone the practical skills valued by tech companies in Ireland.

It also offers strong support in statistics and computer science, giving rise to career opportunities besides the booming tech scene that Ireland is known for by the time one graduates.

Top Colleges (on-campus)	Fees
University College Dublin	INR 14 LPA
University of Limerick	INR 18 LPA
Maynooth University	INR 17 LPA
University College Cork	INR 18 LPA
University of Galway	INR 19 LPA
Dublin Business School	INR 18 LPA
Trinity College Dublin	INR 20 LPA
Dublin City University	INR 11 LPA
Institute of Technology, Carlow	INR 9 LPA

Top Colleges (online)

Top Colleges (online)	Fees
The Electronic Business School International	INR 21 LPA
University of Limerick	INR 7 LPA
University College Dublin	INR 8 LPA
Trinity College Dublin	INR 20 LPA
University of Galway	INR 19 LPA

3) MSc Data Science in Europe

An MSc in Data Science in Europe offers an incredible formulation of theory and hands-on skills. You'll get into data analysis, machine learning, programming, and data visualization, and through projects and internships, you'll get a chance to apply your learning as well.

This field knowledge allows graduates to step into the data scientist role within a host of industries across Europe. You can find these programs at some prominent universities in the UK, Germany, Switzerland, and France, and some of these have specializations such as business analytics, AI, or healthcare data science, depending on what fascinates you the most. 

Top Colleges (on-campus)	Fees
HEC Paris Business School	INR 25 LPA
Alliance Manchester Business School	INR 30 LPA
Imperial College Business School	INR 28 LPA
IE Business School	INR 37 Lakhs
ESCP Business School	INR 22 LPA
Warwick Business School	INR 41 Lakhs
EDHEC Business School	INR 14 LPA
University of Bath School of Management	£833 per 10 credits
London Business School	INR 54 LPA

Top Colleges (online)

Top Colleges (online)	Fees
UIniversity of Edinburgh	INR 36 Lakhs
University of London	INR 9 Lakhs
Liverpool John Moores University	INR 5 Lakhs