M.Tech DATA SCIENCE AND ENGINEERING

About Course

M.Tech. Data Science and Engineering is a four-semester programme designed for working professionals that helps learners build mathematical and engineering skills required to advance their career as a Data Scientist or Data Engineer. The curriculum covers areas that prepare you for most lucrative careers in the space of Data Science, Data Engineering and Advanced Analytics. It helps learners master critical skills such as Mathematical modeling, Machine learning, Artificial Intelligence, Product development and scripting languages. Benefit from Case Studies, Simulations, Virtual Labs & Remote Labs that allow learners to apply concepts to simulated and real-world situations. Tools & Technologies covered include Apache Spark, Apache Storm for Big Data Systems/ Real time Processing, Tableau for data visualization, Tensorflow for Deep Learning and various packages within Python for data processing, machine learning and data visualization. Semesters 1st, 2nd, and 3rd cover four courses each. The 4th semester covers Dissertation/ Project Work. The Dissertation (Project Work) in the final semester enables students to apply concepts and techniques learnt during the programme.The programme uses a Continuous Evaluation System that assesses the learners over convenient and regular intervals. Such a system provides timely and frequent feedback and helps busy working professionals stay on course with the programme.

Curriculum

Semester I
Data Mining
Mathematical Foundations for Data Science
Data Structures and Algorithms Design
Computer Organization and Systems Software

Semester II
Introduction to Statistical Methods
Introduction to Data Science
Elective 1
Elective 2

Semester III
Elective 3
Elective 4
Elective 5
Elective 6

Semester IV
Dissertation

Eligibility

Employed professionals holding B.E. / B.Tech. / MCA / M.Sc. or equivalent with at least 60% aggregate marks or more in their qualifying exam, and minimum one year relevant work experience are eligible to apply. Applicants should possess basic programming knowledge and adequate background in Mathematics.