SHREYARTH UNIVERSITY

Integrated BSC - MSC (CA & IT)

Eligibility Criteria, Fees & Duration

Eligibility Criteria

12th or Equivalent

Fees/Semester

20,000/-

Duration

5 Years (10 Semesters)

Intake Capacity

60 Seats

The Integrated BSC – MSC (CA & IT) program at Shreyarth University offers an in-depth and advanced education in computer science. This program integrates undergraduate and postgraduate studies, allowing students to gain a robust foundation in computer science principles while delving into specialized topics and research. The Integrated BSC – MSC (CA & IT) program emphasizes analytical thinking, innovative problem-solving, and cutting-edge technologies, equipping students with the skills required for leadership roles in academia, research, and the tech industry.

Upon completion of the Integrated BSC – MSC (CA & IT) program, students will:

  • Advanced Knowledge: Master fundamental and advanced computer science concepts and applications.
  • Research Skills: Conduct independent research, analyze data, and contribute to academic and industrial research.
  • Technical Expertise: Develop advanced programming skills and use state-of-the-art technologies and tools.
  • Innovation and Creativity: Design innovative solutions to complex problems and drive technological advancements.
  • Leadership and Management: Lead projects and teams effectively, demonstrating strong leadership and management skills.
  • Interdisciplinary Understanding: Integrate knowledge from various disciplines to create holistic and efficient solutions.
  • Ethical Practice: Uphold professional ethics and contribute responsibly to society and the environment.
  • Global Competence: Adapt to and work effectively in global and multicultural environments.
  • Lifelong Learning: Commit to continuous learning and staying updated with the latest technological trends.
  • Entrepreneurial Spirit: Identify opportunities, develop business plans, and initiate tech-based startups.

Graduates of the Integrated BSC – MSC (CA & IT) program are well-prepared for advanced career opportunities and leadership roles, such as:

  • Research Scientist: Conducting cutting-edge research in computer science and technology.
  • Data Scientist: Analyzing complex data to derive insights and inform decision-making.
  • AI/ML Engineer: Developing artificial intelligence and machine learning algorithms and applications.
  • Software Architect: Designing the structure and components of software systems.
  • Technical Lead: Leading and managing technical teams and projects.
  • University Professor: Teaching and mentoring the next generation of computer scientists.
  • IT Manager: Overseeing IT operations and strategic planning within organizations.
  • Entrepreneur: Starting and managing tech-based companies and startups.

Course Curriculum

Semester 1
Semester 1

SUBJECTS

  1. Fundamental of Programming
  2. Internet and Web Designing
  3. Fundamentals of Computer Organization
  4. Fundamentals of Mathematics
  5. Basics of English Grammar
  6. Soft Skills
  7. Indian Knowledge System
Semester 2
Semester 2

SUBJECTS

  1. Advance Programming language
  2. Database Management System
  3. Web application Development
  4. Linear algebra
  5. Visual Design
  6. Communication Skills
  7. Yoga and Nutrition
Semester 3
Semester 3

SUBJECTS

  1. Object Oriented Programming Using C++
  2. Data Structures
  3. Advanced Database Management System
  4. Discrete Maths
  5. Implementation Of Website Frameworks I
  6. Digital Marketing
  7. Indian Knowledge System II
Semester 4
Semester 4

SUBJECTS

  1. Introduction to Operating Systems
  2. Introduction to Core Java
  3. Introduction to Python
  4. Unified Modelling Language
  5. Numerical Methods
  6. Statistical Skills
  7. Environmental Science
Semester 5
Semester 5

SUBJECTS

  1. Advanced Java
  2. PROJECT
  3. Data Communication and Networking
  4. PHP with MySQL
  5. Implementation Of Website Frameworks II
  6. Network Security
Semester 6
Semester 6

SUBJECTS

  1. Cloud Computing
  2. Mobile Application Development
  3. Information Security
  4. Foundation of Artificial Intelligence
  5. Computer Graphics
  6. Internship
Semester 7
Semester 7

SUBJECTS

  1. Foundation of Machine Learning
  2. Internet of Things
  3. Software Project Management
  4. Advanced Data Structures
  5. On the Job Training
Semester 8
Semester 8

SUBJECTS

  1. Programming with NoSQL
  2. Image Processing
  3. Distributed Operating Systems
  4. Introduction to Block Chain
  5. On the Job Training
Semester 9
Semester 9

SUBJECTS

  1. Big Data Analytics
  2. Full Stack Development
  3. Data compression
  4. Software Testing
  5. On the Job Training
Semester 10
Semester 10

SUBJECTS

  1. Soft Computing
  2. Network Administration
  3. Data Science using python
  4. Ethical Hacking
  5. Research Project
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