BITS WILP Online M.Tech in Data Science

BITS (Birla Institute of Technology and Science) Pilani holds high regard when it comes to higher education in India especially for engineering. BITS Pilani is a trusted name in the education sector that focuses on research-based learning. When society needs to improve the education system due to transformation because of the booming of Science and Technology that leads to a change in the production and working culture of the organizations. To adapt to the changes, BITS Pilani is one of those few institutes that introduced the work-integrated learning program (WILP) to upgrade the skills of the workforce so the efficiency of the organization improves. 

BITS Pilani has inaugurated the M.Tech WILP program in Data Science and Engineering for innovative learning. The program is the most essential requirement at a given time. So that students can think through the latest technologies that have been invented and are innovative and come up with great ideas to deal with the challenges posed by the new technologies. M.Tech WILP Data Science and Engineering postgraduate four-semester course by BITS Pilani allows software developers and IT professionals to advance their careers as Data Engineer, Data Analysts, Data Scientists, and Data Architect.                                

Data Science is an analysis of data to find new insights for the growth of the business. It is the field that deals with the principles and practices of various fields such as computer science, artificial intelligence, statistics, and mathematics. So that large amounts of data can be managed easily and can be easily studied further to conclude. In the process, Data Science uses several tools and techniques like applications, machine learning, data visualizations, predictive analytics and sentiment analysis, and fraud detection. 

Thus, the program includes core and elective subjects so that learners/ working professionals can focus on data management that is needed for machine learning, ethics for data science, optimization techniques, and natural language processing. Students focus on tools and technologies that are included in the curriculum such as Apache Spark, Apache Storm, Tableau, and Tensorflow so that students can understand the processing of big data in real-time and data visualization that are crucial for Data Scientists. And more stress is placed on the project work where students have to research throughout for the projects based on their learning. So that, professors can give feedback and students can make improvements accordingly. This also helps students as faculties can understand how much students have learned through the program and offer suggestions to enhance their performance. 

To conclude, Data Science is one of the fastest-growing industries. Moreover, the program offered by the institute is approved by the University Grants Commission. Thus, the course is completely valid.