MSC (Computer Science)

MSC (Computer Science)

Course Features

Course Details

Introduction

The Global Corporate sector has been witnessing a huge change with women entering the IT sector. Now it is no longer only about having an IT career but these young women also aspire to be a part of the software development team. We at Dr. BMN College (Autonomous) aim to help you in reaching your goals. Setting new milestones each passing year has become a part of BMN. This year too we plan to achieve yet another milestone as we introduce our First Post Graduate Programme ie M.Sc. in Computer Science which is designed to be one of its kind.
Dr. BMN College under SNDT Women’s University was the 1st college in Mumbai to introduce BCA in the year 2000. The department has successfully completed two decades and has had a meritorious record since its inception.

In the academic year 2007 – 2008 the department initiated a second division of the B.C.A. Course. We are also proud to announce that from January 2012 the department introduced a three-year program of Masters in Computer Applications (M.C.A.) as a study center for IGNOU wherein admissions are open for both male and female students from any graduate stream.

The Master of Science ( Computer Science program) will open a plethora of job opportunities like Senior Web Developers, Software Developers, Senior Data Administrators, Computer Network Architects, Computer and Administration Research Scientist, Computer System Analyst, Software Tester, UNIX System Administrator, Mobile Application Developer, Security Engineer, Human-Machine Interaction Specialist and many more.

Coursework Information
Medium of Instruction English
Duration of Course 2 Years
Intake of Students 25-30
Commencement of Course September
Email  khan@bmncollege.com
Contact Number   +91 98679 97415
022 24035296
Program Objectives
This program will enable the students to:
  • Gain in-depth knowledge in the key areas of computer science and practice in emerging, cutting edge Computational Technologies.
  • 2. Develop software solutions to real world problems through Information Technological skills with international standards and facilitate them to be outstanding professionals.
  • 3. Contribute to scientific research by independently designing, conducting and presenting the results of small-scale research.
  • 4. Be a part of skilled manpower in the various areas of computer science such as Algorithm Analysis and Design, Data warehousing and Mining, Software Engineering, Advanced Computing technologies, Web-based Applications Development, and Data Science.
Program Outcome
The completion of the post-graduation programme:
  • Takes forward the knowledge gained by the students at the undergraduate level and provides them with an advanced level of learning and understanding of the subject.
  • Provides students with higher educational degree of technical skills in problem solving and application development.
  • Helps students to acquire an analytical and managerial skills to enhance employment potential.
Program Specific Outcome
  • The main outcome of this programme is enhancement in the Technical and Analytical skills of computer science enthusiasts and provide them with the perfect amalgamation of theory as well as practical knowledge in the various thrust areas of the field.
  • The students will acquire broad knowledge in core areas of computer science, current and emerging computing technologies.
  • The students also acquire a research oriented professional approach to provide sustainable solution to real life problems which can be solved using computational technologies.
Eligibility
    A Science Graduates in:
  • BSc. (Physics),
  • BSc. (Maths.),
  • BSc (Elect.),
  • BSc. (IT),
  • B.Sc. (CS) or
  • BCA or
  • any engineering graduate in allied subject from the recognized university with an aggregate mark not less than 50% (Open Category) and 45% (Reserved category).
  • Mathematics at 12th Level or 100 marks mathematics studied at graduation level is minimum requirement.
A person should have studied Mathematics at 12th Level or 100 marks mathematics at graduation level is the minimum requirement.
Admission Procedure
Admission will be on Merit basis. For further details kindly contact +91 98679 97415
Syllabus:
Semester I
Course Code Course Course Type Teaching Period / Week Credit Duration of Theory Exam (in Hrs.)
L Pr./Tu. Int. Ext. Total
MCS101 Programming Concepts and Design, Analysis of Algorithms CC 4 - 2 2 4 2
MCS102 Data Communication and Networking CC 4 - 2 2 4 2
MCS104 Software Engineering CC 4 - 2 2 4 2
MCS105 Programming Concepts Lab CC - 2 1 1 2 1
MCS106 Networking Lab CC - 2 1 1 2 1
MCS107 Software Testing Lab SEC - 2 1 1 2 1
MCS108 Advanced Web Technology Lab AECC - 2 1 1 2 1
Choice Based Credit System (CBCS)
MCS103A Operating Systems(CBCS) CC 4 - 2 2 4 2
MCS103A Swayam or other online courses (CBCS) SEC 4 - 2 2 4 2
Total 16 8 24 -
 

SEMESTER-I

1 Credit=25 Marks
Total Credits = 24
Total Marks = 24*25=600
Syllabus of Semester I in Details:
PROGRAMMING CONCEPTS AND DESIGN, ANALYSIS OF ALGORITHMS DATA COMMUNICATION AND NETWORKING SOFTWARE ENGINEERING PROGRAMMING CONCEPTS LAB NETWORKING LABSOFTWARE TESTING LAB ADVANCED WEB TECHNOLOGY LAB
CHOICE BASED CREDIT SYSTEM
OPERATING SYSTEMS SWAYAM OR OTHER ONLINE COURSES
Semester II
Course Code Course Course Type Teaching Period / Week Credit Duration of Theory Exam (in Hrs.)
L Pr./Tu. Int. Ext. Total
MCS201 Mobile Communication and Wireless Technology CC 4 - 2 2 4 2
MCS202 Data Analytics and Mining CC 4 - 2 2 4 2
MCS203 Research Methods and Statistical Analysis SEC 4 - 2 2 4 2
MCSL204 Data Analytics and Mining Lab CC 2 1 1 2 1
MCSL205 Statistics Lab AECC 2 1 1 2 1
MCSL206 Advanced Java Lab CC 2 1 1 2 1
MCSL207 Advanced Python Lab CC 2 1 1 2 1
Choice Based Credit System (CBCS)
MCS208 Distributed Systems (CBCS) SEC 4 - 2 2 4 2
MCS209 Computer Graphics (CBCS) SEC 4 - 2 2 4 2
MCS209 Advanced Python (CBCS) SEC 4 - 2 2 4 2
MCS209 Natural Language Processing (CBCS) SEC 4 - 2 2 4 2
MCS209 Swayam or other online courses (CBCS) SEC 4 - 2 2 4 2
Total 16 8 24 -
 

SEMESTER-II

1 Credit=25 Marks
Total Credits = 24
Total Marks = 24*25=600
Syllabus of Semester II in Details:
MOBILE COMMUNICATION AND WIRELESS TECHNOLOGYDATA ANALYTICS AND MININGRESEARCH METHODS AND STATISTICAL ANALYSISDATA ANALYTICS AND MINING LABADVANCED JAVA LABADVANCED PYTHON LAB
ELECTIVE I
DISTRIBUTED SYSTEMSCOMPUTER GRAPHICSADVANCED PYTHONNATURAL LANGUAGE PROCESSINGSWAYAM OR OTHER ONLINE COURSES
Semester III
Code Subject Title Teaching Period / Week Credit Duration of Theory Exam (in Hrs.)
L Pr./Tu. Int. Ext. Total
MCS301 Big Data Analytics and Machine Learning 4 - 2 2 4 2
MCS302 Artificial Intelligence 4 - 2 2 4 2
MCS303 Mobile Application Development 4 - 2 2 4 2
MCS304 Information and Cyber Security 4 - 2 2 4 2
MCS305 Big Data Analytics Lab 2 1 1 2 1
MCS306 Machine Learning Lab 2 1 1 2 1
MCS307 Mobile Application Development Lab 2 1 1 2 1
MCS308 Ethical Hacking Lab 2 1 1 2 1
Total 16 8 24 -
 

SEMESTER-III

1 Credit=25 Marks
Total Credits = 24
Total Marks = 24*25=600
Semester IV
Code Subject Title Teaching Period / Week Credit Duration of Theory Exam (in Hrs.)
L Pr./Tu. Int. Ext. Total
MCS401 Cloud Computing 4 - 2 2 4 2
MCS402 Elective II 4 - 2 2 4 2
MCS403 Research Paper Writing - 4 2 2 4 -
MCS404 Software Project - 12 6 6 12 -
Total 8 16 24 -
Elective-II
Course Code Course Nomenclature
MCS402A Digital Image Processing
MCS402B Robotics
MCS402C Blockchain Technology
MCS402D Modeling and Simulation
 

SEMESTER-IV

1 Credit=25 Marks
Total Credits = 24
Total Marks = 24*25=600
Syllabus:
Semester I
 

SEMESTER-I

1 Credit=25 Marks
Total Credits = 24
Total Marks = 24*25=600
Syllabus of Semester I in Details:
PROGRAMMING CONCEPTS AND DESIGN, ANALYSIS OF ALGORITHMS DATA COMMUNICATION AND NETWORKING SOFTWARE ENGINEERING PROGRAMMING CONCEPTS LAB NETWORKING LABSOFTWARE TESTING LAB ADVANCED WEB TECHNOLOGY LAB
CHOICE BASED CREDIT SYSTEM
OPERATING SYSTEMS SWAYAM OR OTHER ONLINE COURSES
Semester II
 

SEMESTER-II

1 Credit=25 Marks
Total Credits = 24
Total Marks = 24*25=600
Syllabus of Semester II in Details:
MOBILE COMMUNICATION AND WIRELESS TECHNOLOGYDATA ANALYTICS AND MININGRESEARCH METHODS AND STATISTICAL ANALYSISDATA ANALYTICS AND MINING LABADVANCED JAVA LABADVANCED PYTHON LAB
ELECTIVE I
DISTRIBUTED SYSTEMSCOMPUTER GRAPHICSADVANCED PYTHONNATURAL LANGUAGE PROCESSINGSWAYAM OR OTHER ONLINE COURSES
Semester III
 

SEMESTER-III

1 Credit=25 Marks
Total Credits = 24
Total Marks = 24*25=600
Semester IV
Elective-II
Course Code Course Nomenclature
MCS402A Digital Image Processing
MCS402B Robotics
MCS402C Blockchain Technology
MCS402D Modeling and Simulation
 

SEMESTER-IV

1 Credit=25 Marks
Total Credits = 24
Total Marks = 24*25=600
This course does not have any sections.

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