Programmes

Master of Science (Data Science)

To create the professional human resource in the field of Data Science equipped with IT and information management skills to caterto the global industry requirements

Duration (in months): 24 (Full time)

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

Graduate in Engineering, IT, Science, Computer Science, Computer Application of any recognized university/ Institution of National Importance.

Medium of Instruction: English

Programme Pattern :Semester

Course and Specialization :As per Annexure A

Fee :

Academic Fee p.a Institute Diposit Total
Indian Students
International Students
(Under EVBAB)

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 23 0 0 0 0 1* 23
2 22 0 0 0 0 0 22
3 20 3 0 0 0 1* 23
4 12 0 0 0 0 0 12
Total 77 3 0 0 0 0 80
* Satisfactory completion of the non letter grade courses 'Integrated Disaster Management', 'Research Publication' is mandatory for award of degree.


Annexure A

Catalog Course Code Course Code Course Title Specialization Credit Internal Marks External Marks Total Marks
Semester : 1
Generic Core Courses
TE7444 0702430101 Mathematical for Spatial Sciences 4 60 140 200
T7174 0702430102 Applied Statistics 3 150 0 150
TE7442 0702430103 Introduction to Geospatial Technology 3 45 105 150
T3111 0702430104 Data Mining and Algoritms 3 45 105 150
TE7469 0702430105 Principles and Practices of Data protection 3 45 105 150
TE7475 0702430106 Python for Geospatial Technology 3 45 105 150
T2239 0702430107 Business Communication 2 100 0 100
T7370 0702430108 Research Methodology in GIS 2 100 0 100
T4005 0702430109 Integrated Disaster Management* 0 0 0 Non Letter Grade
Total 23 590 560 1150
Semester : 2
Generic Core Courses
TE7447 0702430201 Spatial Bid Data and Storage Analysis 4 60 140 200
TE7446 0702430202 Programing for Spatial Sciences 3 45 105 150
T3447 0702430203 Machine Learning 3 150 0 150
TE7440 0702430204 Advance Python Programming for Spatial Analytics 3 45 105 150
TE7441 0702430205 Image Analytics 3 45 105 150
T7674 0702430206 Cyber Security 2 100 0 100
T7049 0702430207 Spatial Data Base Management 2 30 70 100
TE7470 0702430208 Data Driven Governance 2 30 70 100
Total 22 505 595 1100
Semester : 3
Generic Core Courses
T7942 0702430301 Spatial Modeling 4 60 140 200
T7804 0702430302 Summer Project 4 60 140 200
T3441 0702430303 Web Anaylytics 3 45 105 150
T3509 0702430304 Artificial Inteligence 3 45 105 150
F0003 0702430305 Flexi-Credit Course 3 150 0 150
TE7445 0702430306 Predictive Analysis and Development 3 45 105 150
T0100 0702430307 Research Publication* 0 0 0 Non Letter Grade
Total 20 405 595 1000
Generic Elective Courses Group
T3453 0702430308 Deeo Learning 3 150 0 150
T3136 0702430309 System Dynamics Simulation 3 150 0 150
TE7443 0702430310 IOT Spatial Analytics 3 150 0 150
TE7448 0702430311 Spatial User Banking, Insurance and Finance 3 150 0 150
TE7471 0702430312 Data Driven Banking, Insurance and Finance 3 150 0 150
TE7472 0702430313 Data Driven Forensis and Crime Investigation 3 150 0 150
TE7473 0702430314 Data Driven Journalism 3 150 0 150
TE7802 0702430315 Block Chain technology 3 45 105 150
Total Required Credits 3 150 0 150
Semester : 4
Generic Core Courses
T7812 0702430401 Industry Project 12 360 240 600
Total 12 360 240 600

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