M.Sc. in Computer Engineering Specialization in Data Science and Analytics

  1. Introduction

The Masters of Science in Computer Engineering  (Specialization: Data Science and Analytics) is an analytics and data science program that leverages the strengths of  Department of Electronics and Computer Engineering (DOECE) in statistics, operations research, computing, and business by combining the Industry expertise and Faculty Members of DOECE. By blending the strengths of academicians and people working in these national IT industries, graduates will learn to integrate skills in a unique and interdisciplinary way that yields deep insights into analytics problems.

Analytics is an important, fast-growing field that has quickly become a key facet of business strategy.  There is an increasing need for analytics-savvy employees who can think uniquely across disciplines to transform data into relevant insights for making better business decisions.

DOECE’s approach to analytics gives students the opportunity to learn directly from top national IT industries on business intelligence, developers of cutting-edge analytics techniques in machine learning, statistics and operations research, and world leaders in big data and high-performance computing. Students will use advanced resources across DOECE and national industries such as state-of-the-art high-performance computing infrastructure for massive-scale data analytics, work in cross-disciplinary teams to solve real analytics problems for a range of companies and organizations, and more. It all adds up to a unique ability to generate deeper insights into analytics problems.

With the Masters of Science in Computer Engineering  (Specialization: Data Science and Analytics) degree, graduates will enter the workplace with the computing, business, statistics, and operations research skills needed to immediately identify, analyze, and solve analytics problems for better business intelligence and decision support.

One of the central objectives of the program will be to produce and place graduates ready to make both immediate and long-term impacts in business, industry, and government. In addition to making contacts with leading analytics organizations during the course of the program, students will be encouraged to attend a major analytics conference, gain valuable exposure and be supported in their job.

The curriculum will also facilitate internal as well as external connections. To establish a strong professional network within each cohort, students will take several courses together, developing interdisciplinary working relationships and forging connections that can be relied upon throughout their career.

  1. Title and course duration

Masters of Science in Computer Engineering (Specialization: Data Science and Analytics).

The duration of the course is two years (equivalent to Four semesters) as per the IOE regular norms of master’s degree program.

  1. Objective of the program

The main objectives of the course are to:

  • Produce highly competent professional in the field of Data Science and Analytics
  • Enhance the analytical skills and problem-solving capability in handling current issues in Data Science and Analytics
  • Impart the theoretical background that students will eventually call upon to strategically manage teams of Data Science and Analytics professionals
  • Develop research skill in students to make them capable of carrying out sound research in Data Science and Analytics

Entry Requirements and admission test

The candidate pursuing the admission must hold the Bachelor’s Degree in Computer Engineering, Electronics and communication engineering, Software Engineering, Information Technology Engineering or its equivalent from recognized institutions. The candidate shall appear in the admission tests.