Master of Computer Applications (MCA)

  • Instructor bvpprod
  • 0 Students Enrolled
  • Course Duration 104 week
  • Price ₹132,000.00

The two-year Online Master of Computer Applications (MCA) programme at Bharati Vidyapeeth (DU) offers a comprehensive curriculum designed to equip students with advanced skills and knowledge in computer science and its applications. The program covers a wide range of topics including software development, database management, network administration, and cybersecurity. Through a combination of theoretical coursework and practical hands-on exercises, students gain proficiency in programming languages, software engineering principles, and emerging technologies. The program also emphasizes critical thinking, problem-solving, and communication skills, preparing students for careers in diverse industries such as IT consulting, software development, and project management.

BVDU’s LMS lectures will be conducted online by well experienced academician and industry experts with a variety of teaching and learning methods such as Synchronous as well as Asynchronous lectures, Discussion forums, hands on practical’s & assignments. These learning modes facilitate the exchange of innovative ideas which enable high collaboration levels among the learners.

 

Objective:

1: To build a strong foundation for students to become proficient in all academic concepts and technical skills necessary to become an IT Professional.

2: To provide a conducive environment for designing, implementing, and testing various software applications through Software Development.

3: To keep the students and faculty abreast with the emerging technologies in the field of computer applications.

4: To bring professionalism amongst the students and promote holistic development.

5: To involve students in sustainable IT practices and community services.

 

Program Details:

 

Academic Eligibility 10+2+3 in any stream or equivalent from any recognized university satisfying the following conditions.

  1. Passed BCA/ Bachelor Degree in Computer Science Engineering or equivalent Degree. OR Passed B.Sc./ B.Com./ B.A. with additional bridge Courses (Bridge Course I/ Bridge Course II ) as per the norms of the University OR Passed any graduation degree (e.g. BE/ BTech/ BSc/BCom/BA/B.Voc/ etc) preferably with mathematics at 10+2 level or at Graduation Level.
  2. The candidate should have secured at least 50% marks (45% for SC/ST) in aggregate at graduate level university examination.
  3. For students having no Mathematics background compulsory bridge course framed by the Bharati Vidyapeeth (Deemed to    be University) and additional bridge course related to computer subjects should be completed.
Duration 24 months
Number of batches in a year 2 Batch (January – June)
Curriculum Pattern 4 Semesters

# Semesters Credits
1 Semester I 32
2 Semester II 32
3 Semester III 30
4 Semester IV 20
Examinations Held at the end of each semester

Specializations offered

# Specialization # Specialization
1 Data Science 8 Open-Source Technologies
2 Mobile Computing 9 Data Management
3 Information Systems 10 Dot Net Technologies
4 Big Data 11 IOT
5 Cyber Security 12 Net Centric Technologies
6 Cloud Computing
7 Linux

 

Grading Percentage BreakDown:

Assessment

Weightage

Internal Exam

30%

Final Exam

70%

 

Fee Structure:

MCA Fee Structure Batch
Particulars Amount
Tuition Fees ₹ 132,000
*Registration fees ₹ 1,000
*Admission fees ₹ 1,000

* Non-refundable fee

Note- Backlog Exam Fee Rs.700/-per subject will be charged separately (if applicable) at the time of term end examination.

  • MCA Online July 2023 Onwards
    No items in this section
  • Semester 1

    Name of the Subjects
    Credits points
    Applied Database Management Systems
    4
    Computer Networks
    4
    Java Programming
    4
    Computational Statistics
    4
    Management Concepts and Applications
    4
    Lab on Applied Database Management Systems
    3
    Lab on Java Programming
    3
    MOOCS-I
    4
    Open Course-I
    2
    Total No. of Credits
    32
    Open Course
    Universal Human Values (UHV)
    Cyber Security
    Soft Skills

    No items in this section
  • Semester 2

    Name of the Subjects
    Credits points
    Object Oriented Software Engineering
    4
    Cloud Computing Concepts
    4
    Data structures using Python
    4
    Data Warehousing and Data Mining
    4
    Web Supporting Technologies
    4
    Lab on Data Structures using Python
    3
    Minor Project – 1
    3
    MOOCS-II
    4
    Open Course-II
    2
    Total No. of Credits
    32
    Open Course
    Foreign Language
    Digital Technology
    Human Psychology at Workplace

    No items in this section
  • Semester 3

    Name of the Subjects
    Credits points
    Software Design Patterns
    4
    Artificial Intelligence
    4
    Information Security
    4
    EL-GRP-1 (A)
    3
    EL-GRP-2 (A)
    3
    Lab on Software Testing
    3
    Minor Project – 2
    3
    MOOCS-III
    4
    Open Course-III
    2
    Total No. of Credits
    30
    Open Course
    Social Change in Technology
    Water Management
    Economics for IT Industry

    No items in this section
  • Semester 4

    Name of the Subjects
    Credits points
    Seminar on Recent Trends in IT#
    4
    El-GRP - 1 (B)
    3
    El-GRP –2 (B)
    3
    Major Internship Project
    10
    Total No. of Credits
    20

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  • List of Elective Groups

    Elective Group

    Subject Code

    Subjects

    Cloud Computing

    A

    Virtualization

    B

    AWS

    Data Science

    A

    Statistical Programming in R

    B

    Introduction to Data Science

    Linux

    A

    Linux Desktop Environment, Shell

    Programming and System Administration

    B

    Linux Internals and Network Administration

    Open-Source Technologies

    A

    Perl Scripting

    B

    Ruby

    Mobile Computing

    A

    Java Script

    B

    Android

    Dot Net 

    Technologies 

    A

    C# Programming and Applications

    B

    ASP Dot Net with MVC

    Net Centric Technologies

    A

    HTML 5

    B

    AJAX Programming

    Information Systems

      A

    Recommender System

    B

    Knowledge Management

    IOT

    A

    IoT Architecture Sensors and Fundamentals with Hands-on lab

    B

    Internet Of Things: Sensing And Actuator Devices and Smart city use case

    Big Data

    A

    Introduction to Big Data

    B

    Business Intelligence Tools With Hadoop

    Cyber Security

    A

    Introduction to Information Security

    B

    Information Security Threats and Mitigation Strategies

    Data Management

    A

    Data Management Environment

    B

    Industrial Data Management and Security

    No items in this section

Instructor

User Avatar bvpprod