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Department of Computer Science - Master of Science (M.Sc.) in Computer Applications Regular

Introduction • This programme will equip students with knowledge highly relevant to emerging technologies. This course will be an opportunity for graduates and professionals from a wide range of disciplines to develop IT Applications.
• Our goal is to develop highly skilled and trained computer professionals capable of working in a variety of domains, able to meet businesses challengesand successfully deal with varying business scenarios.

Objective • This course will provide training in core subjects with skills appropriate to the ever changing world of computer science. Students will develop:
1) Computational and project design skills
2) Data analytical skills and
3) Data transformation skills and knowledge


Prerequisite/Eligibility • Any graduate student with backgrounds in a range of disciplines including:
• Business and Management (BCA, BBA and equivalent)
• Computer Science/IT (BCS, BSc-Computer/IT/Electronics)
• Mathematics (BSc-Mathematics, BA- Mathematics)


Course Pattern
2 years (Four Semesters)


Student Intake
30 per Division


Medium of instruction
English


Entrance Exam Structure
For Detail Entrance Exam Structure of 2019-2020 BatchClick Here



Course Structure
• For Detail Course Structure of 2019-2020 BatchClick Here



Fee Structure (In Rupees) • For 2020-21 Batch Fee StructureClick Here



Library Deposit • Refundable Rs. 1000/-(2 books) to be paid separately.


Last Date of Admission: • For Indian Students :
Without Late Fee - 16th August
With Late Fee (Rs. 1000/- ) 31st August

• For NRI/Foreign Students :
Without Late Fee - 16th August
With Late Fee (Rs. 1000/- ) 31st August

• Value added Input
• Various skill Development Courses
• Exclusive Cyber Security Courses For TMV Students at a reasonable cost



Value addedSoft Skills, English Laboratory is included in the prescribed fee.


Career scope and Job Opportunities at Exit point : - This course will accelerate your career towards the future of analytics.
This course starts from fundamentals in Data Management and Analytics to advanced topics like Big Data. The career options are equally opened in following areas

• Data Mining or Big Data Engineer
• Software engineer / programmer
• E-commerce companies
• Security and surveillance
• Big Data Analysts
• Business intelligence
• Data/Computer Scientist
• Consultant
• Project leader
• Program/Project Manager in massive data management