M.Tech. in Computer Science and Engineering

This is a two year post-graduate engineering programme supported by multidisciplinary faculty. Data is the new “oil”. Read more about this important field here.

This is a unique program for those who are interested in shaping and creating a future world where AI and Machine Learning, Natural Language processing, and business intelligence are providing opportunities and competitive advantages. It will empower the students with Data Science skills and competencies. The students will acquire the following skills: Research Design, Data Cleansing, Data Engineering, Data Mining and Exploring, Data Visualization, Information Analytics, Ethics and Privacy, Statistical Analysis, Machine Learning, Communicating Results, and many others.

The program is designed to educate data science leaders and help them earn a professional degree. The program features a multidisciplinary curriculum in computer science, statistics, management, and law.


BTech/BE, or MCA/MSc in CS/IT/CE/MATH/STAT streams, or MBA (or equiv.), with at least 55% aggregate marks or equivalent CGPA. (B.Sc. degree with an exceptional record and/or work experience can be considered). Candidates will be shortlisted based on academic credentials and Statement of Purpose (SoP). Shortlisted candidates will be invited for Personal Interview leading to the final unified selection. Candidates with a sound background in Mathematics and/or Statistics with at least basic coding knowledge are preferred

You may contact the Dean’s office for the program related questions (deanxcse_office@xub.edu.in or by phone). 

All admission-related queries may be directed to: admission@xub.edu.in
Phone: 0674 – 2377 806


Course Duration and Structure

The Curriculum is a blend of machine learning and programming and business-oriented subjects. The program includes an internship and a capstone project to foster interaction with the data science community and offers opportunities for applying data science knowledge.

Opportunities for various workshops such as SAS, Linux, Hadoop, Python, R will be available. 


The course has 4 semesters spread over 2 years. Core courses and electives offered are as follows.

Year One

Semester I

Semester II

Statistical Foundations for Data Science
Artificial Intelligence
Programming for Data Science
Machine Learning
Data Mining & Data Warehousing
Elective I
Linear Algebra and Matrix Computation
Computer Vision and Image Processing
Data Structures and Algorithm
Optimization Techniques

Year Two

Semester III

Semester IV

Elective II
2. Elective III
Big Data Analytics
Deep Learning
Capstone Project


The above list of electives is open and may be offered if sufficient demand exists.