Master of Science (Computer Applications)

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Master of Science (Computer Applications)

This programme will equip students with knowledge highly relevant to emerging technologies. This programme aims to provide a comprehensive framework for understanding by integrating theoretical foundations with extensive practical work in the labs and hands-on experience. The programme offers following areas of specializations:

  1. Software Development
  2. Data Science
  3. System Security

Duration (in months) :- 24 (Online)

Eligibility :- Graduate from any recognised University/ Institution of National Importance with a minimum of 50% marks or equivalent grade at graduation level.

Medium of Instruction :- English.

Programme Pattern :- Semester

Course and Specialization :- As per Annexure A.

Fees Academic Fee p.a Institute Deposit Total
Indian Students INR 70,000 - INR 70,000

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 :- Master of Science (Computer Applications) will be awarded at the end of 4th semester examination by taking into consideration the performance of all 4 semesters examinations after obtaining minimum 4.00 CGPA out of 10.00 CGPA.

Sample Degree Certificate :-

Sample Degree Certificate.jpg

Annexure A :-

Course Title Credit Internal Marks External Marks Total Marks
Generic Core Courses
Design of Content Management System 4 60 140 200
Fundamentals of Computer Networking 3 45 105 150
Design and Analysis of Algorithms 3 45 105 150
Relational Database Management System 3 45 105 150
Best Programming Practice 2 30 70 100
Introduction to Operating System 2 30 70 100
Introduction to Python 2 30 70 100
Cyber Security 2 30 70 100
Research Methodology 2 30 70 100
Total 23 345 805 1150

Course Title Specialization Credit Internal Marks External Marks Total Marks
Generic Core Courses
Big Data: Systems, Programming and Management 4 200 0 200
DevOps 2 30 70 100
Dissertation 2 100 0 100
Scripting Language 3 45 105 150
Total 11 375 175 550
Choose Any One Specialization
Specialization Core Courses : Software Development
Object Oriented Analysis Design Software Development 4 60 140 200
Software Project Management Software Development 4 60 140 200
Total 8 120 280 400
Specialization elective: Software Development
NOSQL Databases Software Development 3 45 105 150
Data Warehousing Software Development 3 45 105 150
R Programming Software Development 3 45 105 150
Android Technologies Software Development 3 45 105 150
Linux Scripting Software Development 3 45 105 150
Software Verification and Validation Software Development 3 45 105 150
Flexi-Credit Course Software Development 3 150 0 150
Foundation Web Technology Software Development 3 45 105 150
Total 6 90 210 300
Specialization Core Courses : System Security
Cryptography System Security 3 45 105 150
Database and Application Security System Security 3 45 105 150
Security Standards System Security 2 30 70 100
Total 8 120 280 400
Specialization Elective: System Security
Network Operations, Design, Optimization and Management System Security 3 45 105 150
Web Application Security System Security 2 30 70 100
IT Audit and Risk Management System Security 2 30 70 100
Secure Software Engineering System Security 2 30 70 100
Network Security Testing System Security 2 30 70 100
Flexi-Credit Course System Security 3 150 0 150
Total Required Credits 6 90 210 300
Specialization Core Courses : Data Science
Software Project Management Data Science 4 60 140 200
Computation Methods Data Science 2 30 70 100
Data Analysis Using Python Data Science 2 30 70 100
Total 8 120 280 400
Specialization Elective : Data Science
NOSQL Databases Data Science 3 45 105 150
Data Warehousing Data Science 3 45 105 150
R Programming Data Science 3 45 105 150
Linux Scripting Data Science 3 45 105 150
Data Analysis and Visualization Data Science 3 45 105 150
Fuzzy Logic Data Science 3 45 105 150
Flexi-Credit Course Data Science 3 150 0 150
Total 6 90 210 300

Course Title Specialization Credit Internal Marks External Marks Total Marks
Choose Any One Specialization
Specialization Core Courses : Software Development
Software Architectures Software Development 4 60 140 200
Web UI and Content Management Software Development 4 60 140 200
Pilot Project Software Development 2 100 0 100
Total 10 220 280 500
Specialization Elective: Software Development
Data Mining and Algorithms Software Development 3 45 105 150
Software Quality Models Software Development 3 45 105 150
Flexi-Credit Course Software Development 3 150 0 150
Network Programming Software Development 3 45 105 150
Cloud Programming using Web Services Software Development 3 45 105 150
Systems Programming Software Development 3 45 105 150
Total 6 90 210 300
Specialization Core Courses : System Security
Pilot Project System Security 2 100 0 100
Vulnerability Assessment and Penetration Testing System Security 4 60 140 200
Security Management Practices System Security 2 30 70 100
Information System Audit System Security 2 30 70 100
Total 10 220 280 500
Specialization Elective: System Security
Computer Forensics - Detection and Prevention of IT Frauds System Security 3 45 105 150
Virtualization and Security System Security 3 45 105 150
Identity and Access Management System Security 3 45 105 150
Flexi-Credit Course System Security 3 150 0 150
Software Defined Networking System Security 3 45 105 150
IoT and Hardware Security System Security 3 45 105 150
Total 6 90 210 300
Specialization Core Courses : Data Science
Pilot Project Data Science 2 100 70 100
Image Processing Data Science 4 60 140 200
Machine Learning Algorithms Data Science 4 60 140 200
Total Required Credits 10 220 280 500
Specialization Elective : Data Science
Cloud Programming using Web Services Data Science 3 45 105 150
Text Analytics Data Science 3 45 105 150
Data Science for IOT Data Science 3 45 105 150
Artificial Neural Network and Deep Learning Data Science 3 45 105 150
Natural Language Processing Data Science 3 45 105 150
Flexi-Credit Course Data Science 3 150 0 150
Total 6 90 210 300

Course Title Credit Internal Marks External Marks Total Marks
Generic Core Courses
Industry Internship 16 240 560 800
Total 16 240 560 800

Semester Internal Credits External Credits Total Credits Total Marks
Semester 1 0 23 23 1150
Semester 2 9 16 25 1250
Semester 3 5 11 16 800
Semester 4 0 16 16 800
Total 14 66 80 4000

PG Programmes

Programme Highlights

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100% Online Programmes- No campus visit required

Online assessments as per UGC Guidelines

24*7 Access to Learning Management System

Curriculum developed by experts from top 10 Symbiosis Institutes in India

Access to recorded sessions- learn at your own pace

Live Teacher - student lectures & interactions

Peer-to-peer doubt sharing & solving sessions

Symbiosis Distance Learning Courses

SYMBIOSIS SCHOOL FOR ONLINE AND DIGITAL LEARNING (SSODL)
4th floor, SUHRC Bldg, Hill Base Campus, SIU Knowledge Village,
At Post Lavale, Taluka - Mulshi, Dist- Pune 412115,
Maharashtra, India

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