Master of Science (Data Science)

This programme will equip students with data science knowledge highly relevant in intelligence era. This programme aims to provide a comprehensive framework for understanding data science life cycle, statistical foundations, technologies and applications.

Duration (in months): 24 (Full time)

Eligibility: Graduate from any recognized University/ Institution of National Importance with a minimum of 50% marks or equivalent grade (45% marks or equivalent grade for Scheduled Caste / Scheduled Tribes).

Medium of Instruction: English

Programme Pattern : Semester

Course and Specialization : As per Annexure A

Fee :

	Academic Fee p.a	Institute Deposit	Total
Indian Students	INR 70,000	-	INR 70,000
International Students	INR 70,000	-	INR 70,000
Fee Concession Rs 10,000 fee concession for one time payment of the full time programme fee.

Assessment :All courses will have 30% internal component and 70%component as external [University] examination.

Standard of Passing :The assessment of the student for each examination is done, based on relative performance. Maximum Grade Point (GP) is 10 corresponding to O (outstanding). For all courses, a student is required to pass both internal and external examination separately with a minimum Grade Point of 4 corresponding to Grade P. Students securing less than 40% absolute marks in each head of passing will be declared FAIL. The University awards a degree to the student who has achieved a minimum CGPA of 4 out of maximum of 10 CGPA for the programme.

Award of Degree/Diploma/Certificate :Master of Science (Data Science) will be awarded at the endof semester IV examination by taking into consideration the performance of all semester examinations after obtaining minimum 4.00 CGPA out of 10 CGPA.

Classification of Credits

Semester	Genric Core	Generic Elective	Specialization Core	Specialization Elective	Open Elective	Audit	Total
1	19	0	0	0	0	0	19
2	21	0	0	0	0	0	21
3	13	3	0	0	6	0	19
4	15	0	0	0	6	0	21
Total	68	0	0	0	12	0	80

Annexure A

Catalog Course Code	Course Code	Course Title	Specialization	Credit	Internal Marks	External Marks	Total Marks
Semester : 1
Generic Core Courses
T6688	0301420101	Statistical computing		4	60	140	200
T4725	0301420102	Research Methodology		2	30	70	100
T3577	0301420103	Data Analysis Using Python		2	30	70	100
T3356	0301420104	NOSQL Databases		3	45	105	150
T3281	0301420105	PData Warehousing		3	45	105	150
T3364	0301420106	Data Management		3	45	105	150
T3637	0301420107	Mathematics Foundations		2	30	70	100
Total				19	285	665	950
Semester : 2
Generic Core Courses
T6699	0301420201	Multivariate statistics-1		4	60	140	200
T6697	0301420202	Statistical Inference		4	60	140	200
T3579	0301420203	Machine Learning Algorithms		4	60	140	200
T3448	0301420204	Text Analytics		3	45	105	150
T3683	0301420205	Operations Research and Optimization Techniques		2	30	70	100
T3455	0301420206	Data protection and Privacy		2	30	70	100
T3445	0301420207	Data Mining		2	30	70	100
Total				21	315	735	1050
Semester : 3
Generic Core Courses
T6701	0301420301	Multivariate statistical Analysis-2		4	60	140	200
T3566	0301420302	Artificial Neural Network and Deep Learning		3	45	105	150
T3567	0301420303	Data Analysis and Visualization		3	45	105	150
T3309	0301420304	Big data analytics		3	45	105	150
Total Required Credits				13	195	455	650
Generic Elective Courses Group
T3268	0301420305	Fuzzy Logic	Data Science	3	45	105	150
T3568	0301420306	Natural Language Processing	Data Science	3	45	105	150
F0003	0301420307	Advanced Data Mining	Data Science	3	45	105	150
T3015	0301420308	Cognitive computing	Data Science	3	45	105	150
Total Required Credits				6	90	210	300
Semester : 4
Generic Core Courses
T6725	0301420401	Time Series Analysis		3	45	105	150
	0301420402	Project		12	180	420	600
Total				16	225	525	750
Generic Elective
T3558	0301420403	Reinforcement learning	Data Science	3	45	105	150
T3134	0301420404	Social media and web analytics	Data Science	3	45	105	150
T3560	0301420405	Computer vision	Data Science	3	45	105	150
T3506	0301420406	Analytics applications	Data Science	3	45	105	150
Total Required Credits				6	90	210	300