MS Data Science

Data science is a fascinating, lucrative, and fast-growing field. Data science leverages large volumes of data generated from numerous and diverse sources. Data scientists’ structure and analyze these large volumes of data, uncover patterns, and make predictions in our increasingly digital world. Data science is needed in practically every domain: business, finance, science, health, and the public sector.

Data Science studies the application and development of methods to find solutions for the challenges of data collection and analysis that occur in the most modern services, from digital assistant to search engines, and from online shopping to weather forecasts. The methods of data science involve elements of statistics, computer science, combinatorics and optimization. The need for an integrated study and research across these disciplines is felt across all industries.

Sr. No.AreaCr. Hrs.
1 Core Courses 12
2Specialization Courses6
3 Electives 6
4Thesis/Additional Courses 6
Total -30

At least 2.00/4.00 CGPA or 50% marks from an annual system in BS Computer Science/Software Engineering/Information Technology/Computer Engineering/ Electrical Engineering/Statistics/Mathematics or equivalent.
Note: If a candidate has not taken the following courses during the undergraduate degree, then they must take them during the MS Data Science:

  1. Programming Fundamentals (Core Programming Course)
  2. Data Structures & Algorithms OR Design & Analysis of Algorithms
  3. Database Systems
Weightage of Previous AcademicsWeightage of Admission Test Weightage of the Interview Total
20% 50% 30% 100%
Program Name Per Credit Hour Fee 1st Sem Total Fee 1st Installment
Including Admission fee
1st Installment
with 50% PGC Scholarship
1st Installment with 25% Merit/PGC/Legacy Scholarship 1st Installment
with 50% Merit Scholarship
1st Installment
with 75% Merit Scholarship
1st Installment
with Gilgit – Baltis tan 30% Scholarship
Total Credit Hours Total Fee (incl Admissionfee)
MS Data Science 13,000 142,000 83,500 N/A N/A 54,250 39,625 65,950 30 415,000

Year-1, Semester 1

Sr. No.Course TitleCr. Hrs.Type
1 Core Course – I 03 Core
2 Core Course – II 03 Core
3 Elective-I 03 Elective
--Total09-

Semester 2

Sr. No.Course TitleCr. Hrs.Type
1 Core Course – III 03 Core
2 Core Course – IV03 Core
3 Elective – II03 Elective
--Total09-

Year-2, Semester 3

Sr. No.Course TitleCr. Hrs.Type
1 Specialization Course I 03 Specialization
2 Specialization Course II 03 Specialization
--Total06-

Semester 4

Sr. No.Course TitleCr. Hrs.Type
1 MS Thesis 06 Thesis
--Total06-
--Total Degree Credit Hours30-

Core Courses

Sr. No.Course CodeCourse TitleCr. Hrs.
1 DSSM5103 Statistical and Mathematical Methods for Data Science 3
2 DSDS5203 Tools and Techniques in Data Science 3
3 DSAI5303 Machine Learning 3
4 DSRM5401 Research Methodology3

Specialization Courses (Any 2 Courses)

Sr. No.Course CodeCourse TitleCr. Hrs.
1 DSDS5213 Big Data Analytics 3
2 DSAI6313 Deep Learning 3
3 DSAI6323 Natural Language Processing 3
4 DSDS6233 Distributed Data Processing3

Demand is growing for high value data specialists with high level skills to turn stockpiles of information into knowledge for better decision making. It is needed to create high load services and applications based on statistical analysis and representation, and to develop storage and processing systems for big data.

This is a two-year degree program comprising 4 semesters with 30 Cr. Hrs. There will be a Fall and a Spring semester each year. The summer semester will be utilized for deficiency courses. The maximum duration to complete MS Data Science degree is 04years.

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