MS Data Science

Program Information

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.

Program Outline

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

Eligibility Criteria

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:

Programming Fundamentals (Core Programming Course)
Data Structures & Algorithms OR Design & Analysis of Algorithms
Database Systems

Selection Criteria

Weightage of Previous Academics	Weightage of Admission Test	Weightage of the Interview	Total
20%	50%	30%	100%

Fee Structure with Scholarship

Program Name: MS Data Science

Admission Fee: 25,000

Per Credit Hour Fee	1st Sem Total Fee	1st Installment	1st Installment with 25% Scholarship	1st Installment with 30% Scholarship	1st Installment with 50% Scholarship	1st Installment with 75% Scholarship	Total Credit Hours	Total Fees (Incl Admission Fees)
13,000	142,000	83,500	68,875	65,950	54,250	39,625	30	415,000

Tentative Study Road Map

Year-1, Semester 1

Sr. No.	Course Title	Cr. Hrs.	Type
1	Core Course – I	03	Core
2	Core Course – II	03	Core
3	Elective-I	03	Elective
-	-Total	09	-

Semester 2

Sr. No.	Course Title	Cr. Hrs.	Type
1	Core Course – III	03	Core
2	Core Course – IV	03	Core
3	Elective – II	03	Elective
-	-Total	09	-

Year-2, Semester 3

Sr. No.	Course Title	Cr. Hrs.	Type
1	Specialization Course I	03	Specialization
2	Specialization Course II	03	Specialization
-	-Total	06	-

Semester 4

Sr. No.	Course Title	Cr. Hrs.	Type
1	MS Thesis	06	Thesis
-	-Total	06	-

-Total Degree Credit Hours

Core Courses

Sr. No.	Course Code	Course Title	Cr. 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 Methodology	3

Specialization Courses (Any 2 Courses)

Sr. No.	Course Code	Course Title	Cr. Hrs.
1	DSDS5213	Big Data Analytics	3
2	DSAI6313	Deep Learning	3
3	DSAI6323	Natural Language Processing	3
4	DSDS6233	Distributed Data Processing	3

Career Opportunities

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.

Criteria for Award of Degree

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.