MS Data Science

Program Info

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.

Outline

Sr. No.	Area	Cr. Hrs.
a)	Core Courses	12
b)	Specialization	06
c)	Electives	06
d)	Thesis/Additional Courses	06
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 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

Per Credit Hour Fee: 11,880

Admission Fee: 25,000

1st Semester Total Fee Including Admission fee	1st Installment Including Admission fee	1st Installment with 35% 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 100% Merit Scholarship	Total Credit Hours	Total Fee(incl Admission fee)
167,560	96,280	N/A	N/A	60,640	42,820	N/A	33	381,400

Disclaimer

The above-mentioned fee structure is for illustration purpose only. UCP reserves the rights to make changes in the Fee Structure whenever deemed necessary or appropriate.

Tentative Study Road Map

a) Core Courses

Sr. No.	Course Title	Course Code	Cr. Hrs.
1	Statistical and Mathematical Methods for Data Science	DSSM5103	3
2	Tools and Techniques inDataScience	DSDS5203	3
3	MachineLearning	DSAI5303	3
4	ResearchMethodology	DSRM5401	3
Total	-	-	12

b) Specialization Courses

Select any 02 courses out of following:

Sr. No.	Course Title	Course Code	Cr. Hrs.
1	Big Data Analytics	DSDS5213	3
2	Deep Learning	DSAI6313	3
3	Natural Language Processing	DSAI6323	3
4	Distributed Data Processing	DSDS6233	3
Total	-	-	12

c) Electives

Following is a non-exhaustive list of elective courses. New elective courses may be added to this list. Students may be recommended to make their choice of electives, in the light of a soft specialization within the field of data science.

Sr. No.	Course Title	Course Code	Cr. Hrs.
1	Topics in Artificial Intelligence	DSAI5643	3
2	Topics in Data Visualization	DSIP6163	3
3	Topics in Data & Information Retrieval	DSDS7433	3
4	Topics in Networks & Communication	DSNS6553	3
5	Topics in Cloud Computing Technologies	DSNS6543	3
6	Advanced Computer Vision	DSIP5603	3
7	Algorithmic Trading	DSCS5503	3
8	Bayesian Data Analysis	DSDS5233	3
9	Big Data Analytics	DSDS5243	3
10	Bioinformatics	DSCS5513	3
11	Cloud Computing	DSCS5523	3
12	Computational Genomics	DSSM6153	3
13	Data Visualization	DSDS6253	3
14	Deep Reinforcement Learning	DSAI6333	3
15	Distributed Data Processing and Machine Learning	DSDS6263	3
16	Distributed Machine Learning in Apache Spark	DSAI6343	3
17	High Performance Computing	DSCS5533	3
18	Inference & Representation	DSDS6273	3
19	Optimization Methods for Data Science and Machine Learning	DSSM5113	3

d) Research Thesis

Sr. No.	Course Title	Course Code	Cr. Hrs.
1	Research Thesis	DSRW6916	6
2	Thesis Continuation	DSRW6921	1

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.