MS Data Science
Last updated on December 11th, 2018

MS Data Science

Big data and analytics now drive strategic decision making and innovation whether it is in relation to engineering, finance, health or other professional areas. There is a growing demand for data scientists who can apply powerful tools and advanced statistical modelling techniques to make discoveries about business problems, processes and platforms. Master of Science in Data Science, shall addresses the intersection of three areas driving data science: technologies, analytics and business needs.

Eligibility Criteria

HEC recognized 4 years Bachelor degree in CS/SE/CE/EE/IT/Statistics/Mathematics or equivalent with CGPA 2.5/4.0 (Semester System) or 50% marks (Annual System).


MIT/MCS/M.Sc. (Computer Science) / MPhil Mathematics/ MPhil Statistics or equivalent with CGPA 2.5/4.0 (Semester System) or 50% marks (Annual System).

NTS GAT (General)/ GRE/ University entry test passed with 50% marks.


The following core courses are recommended to be completed before entering the MS Data Science program.

  1. Programming Fundamentals
  2. Data Structures & Algorithms OR Design & Analysis of Algorithms
  3. Database Systems

A student selected for admission having deficiency in the above stated courses shall be required to study the courses, which must be passed in the first two semesters. Deficiency courses shall be determined by the Departmental Selection Committee, before admitting the student. A student cannot register in MS courses, unless all specified deficiency courses have been passed.

Deficiency course shall be offered with undergraduate students and per credit hour fee of undergraduate program shall be applied.

ROADMAP – MS Data Science

Semester 1
Course Code Course Title Credit Hours
DSC 500 Tools and Techniques in Data Science 03
DSC 501 Statistical and Mathematical Methods for Data Analysis 03
ESC 701 Research Methodology 03
Total 09

Semester 2

Course Code Course Title Credit Hours
DSC 700 Big Data Analytics 03
CSC 719 Machine Learning 03
Elective I 03
Total 09

Semester 3

Course Code Course Title Credit Hours
DSC 707 Deep Learning 03
Elective II 03
Thesis I / Elective – III 03
Total 09

Semester 4

Course Code Course Title Credit Hours
Thesis II / Elective – IV 03
Total 03




Elective Courses – MS Data Science
Sr. No Course Code Course Title Credit Hours
5 DSC 703 Data Visualization 3
6 DSC 704 Distributed Data Engineering 3
2 DSC 706 Unstructured Data Processing 3
3 CSC 518 Decision Support Systems 3
4 CSC 715 Intelligent Agents 3
5 CSC 741 Advanced Natural Language Processing 3
6 CEN 745 Advanced Digital Image Processing 3
7 CSC 749 Advanced Neural Networks and Fuzzy Logic 3
8 CSC 751 Pattern Recognition 3
9 CSC 764 Computer Vision 3
10 CSC 781 Cloud Computing 3
11 CSC 554 Advanced Information Theory 3
12 CSC 747 Text Mining 3
13 CSC 752 Advanced DBMS 3
14 CSC 760 Advanced Data Warehousing 3
15 SEN 764 Ontology Engineering 3
16 ESC 500 Thesis 6