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M.Tech in Data Science & Analytics

M.Tech in Data Science & Analytics

MASTER OF TECHNOLOGY IN DATA SCIENCE AND ANALYTICS
OFFERED BY XAVIER SCHOOL OF COMPUTER SCIENCE AND ENGINEERING

Eligibility

B.E/B.Tech (Computer Science/ Information Technology/ Electrical/ Electronics/Mechanical) or M. Sc. (Computer Science/ Information Technology) or MCA (with Physics and Mathematics/ Statistics at B. Sc. Level), or MBA (or equiv.), with at least 55% marks in aggregate, or equivalent, from a recognized University. Candidates with M.Sc. degree, with a sound background in Mathematics and/or Statistics with coding knowledge can apply. Final year (qualifying degree) students, who expect to complete their final examinations and other requirements for obtaining the degree by June 15, 2020, can also apply.

Admission Procedure

Applicants are required to fill-up the application form online at: www.xub.edu.in

 

The last date to fill up the application form is 16th August, 2020

Selection Process

The eligible candidates will be shortlisted based on academic credentials and/or extracurriculars and/or Xavier Engineering Entrance Examination (XEEE) score and/or Statement of Purpose (SoP). The shortlisted candidates will be invited for Personal Interview leading to the final unified selection.

mtech_datascience
All admission and program related queries may be addressed as follows:

Admission Related

Telephone: +91-674-2377 806 / 2377 878
Email: admission@xub.edu.in

MARUTI PRASAD NANDA

Contact: 7894-218-494

PARAMANANDA BHUYAN

Contact: 9040-531-125

Program Related

Telephone: 0674-2377 731 (During office hours)
Email: deanxcse_office@xub.edu.in


BISWAJIT MOHAPATRA
Contact: 7008-014-054

To know more about M.Tech-DSA program visit : https://xcse.xub.edu.in/programs/m-tech-in-dsa/
PROGRAM DETAILS
TWO-YEAR FULL-TIME MASTER PROGRAM IN DATA SCIENCE AND ANALYTICS

This is a two year programme offered by the Xavier University Bhubaneswar. It will be taught by Professors from different schools of the Xavier University such as the Xavier School of Computer Science and Engineering, Xavier School of Economics, Xavier Institute of Management (XIMB).

 

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

COURSE DURATION

TIn order to earn Master of Data Science and Analytics degree, the student must complete a minimum of 100 credits from 27 courses of 4 credits each and 18 credits in practical projects, internship, and capstone project, which is mandatory.


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

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

ELIGIBILITY
  • Bachelor’s degree in Engineering, Technology, Science and Management with at least 55% marks in aggregate.
  • Candidates with a sound background in Mathematics and/or Statistics are preferred

The Candidates will be shortlisted based on academic credentials and Statement of Purpose (SoP). Shortlisted candidates will be invited for Personal Interview.

FIRST SEMESTER

Sl No. Subjects Credit
1
Linear Algebra for Machine Learning
4
2
Introduction to Prob & Stats
4
3
Operations Research
4
4
Information Visualization with Data
4
5
Data Structure and Management for Data Science
4
6
Scalable Data systems and Algorithm
4
7
Contemporary Analytics
4
Practical and Project
8
R- Programming Python Programming
2
9
SQL, NOSQL
2
Total Credits
32

SECOND SEMESTER

Sl No. Subjects Credit
1
Big Data Management and Platforms
4
2
Advanced Statistics
4
3
Research and Experimental Design
4
4
Advanced Machine Learning for Data Scientists
4
5
Software Design for Data Science
4
6
Data Mining and Exploring
4
7
Leadership Skill-Teams, Strategies and Communications
4
Practical and Project
8
Text Visualization, Summarization, Customer Opinion Mining
2
9
Neural Network, k-NN, k-means Clustering, CNN, SVM
2
Total Credits
32

THIRD SEMESTER

Sl No. Subjects Credit
1
Deep Learning
4
2
Natural Language Processing
4
3
Data engineering Platforms for Analytics
4
4
Machine Learning and Predictive Analytics
4
5
Cloud computing
4
6
Human Centered Data Science
4
7
Modeling in Operations Management
4
8
Elective Courses (any one)
4
Practical and Project
9
Live Project with Data Analytics
2
Total Credits
34

FOURTH SEMESTER

Sl No. Subjects Credit
1
Business Intelligence
4
2
Project Management
4
3
Elective Courses (any three)
4
4
Internship
4
5
Capstone Project
4
Total Credits
20
Elective Courses
  • Digital MarketingAnalytics
  • HR Analytics
  • Media Analytics
  • Real Time Analytics
  • Supply Chain Analytics
  • Financial Analytics
  • Ethical and Legal Considerations in Analytics
  • Healthcare Analytics