MTech in Data Science

MTech in Data Science at MIT, Manipal is a two-year postgraduate degree program taught by MIT and industry experts. The program is designed to train graduates to pursue a career in the area of data science. Data Science is a unique multidisciplinary confluence of Computer Science, Computational Mathematics, Statistics, and Management. Data technologies for data collection, data storage, retrieval, and computation will be taught during the course.  The core data science subjects focus on data analysis, visualization, predictive modelling, and analytics for data-driven decision-making.  Knowledge representation, machine learning, artificial intelligence, deep learning will be taught with relevant case studies.  

Career Prospects

Data analysts and scientists are in high demand since the last few years and the demand is unlikely to slow down any time soon. The Institution’s placement cell, industry collaborators, and alumni network will facilitate placement and internships as data scientists, data analysts, and data engineers. The course targets placements and internships in top data science companies, research organizations, and in domains such as finance, business, economics, and healthcare.

The course will equip students to target the following profiles:

·         Data Analyst

·         Business Analyst

·         Data Engineer

·         Machine Learning Engineer

·         Data Scientist

Program Educational Objectives (PEOs)

MTech. in Data Science graduate will be able to:

PEO-1:  Possess skill to analyze the challenges associated with data in the domain of Computer Science, Computational Mathematics, Statistics, and Management

PEO-2:  Contribute to multidisciplinary research and development by using innovative and creative methods.

PEO-3:  Pursue higher studies and obtain positions as data scientists or data analysts

Program Outcomes (POs)

The Program Outcomes of MTech in Data Science enable students to:

PO-1:     Independently carry out research /investigation and development work to solve practical problems

PO-2:     Write and present a substantial technical report/document

PO-3:     Demonstrate a degree of mastery over the area as per the specialization of the program. The mastery should be at a level higher than the requirements in the appropriate bachelor program.

Program Specific Outcomes (PSO's)

PSO-1:      Use the understanding of big data analytics, mathematics, and Artificial Intelligence to solve business issues while adhering to the fundamentals of computational intelligence.

PSO-2:      Develop prediction models and inculcate the ideas of data analysis, and data visualisation to enhance Business Value.

Click here for Course Structure & Syllabus