MCA - Data Science

This two-year program, prepared in collaboration with IBM empowers students to become data-driven decision-makers. The program blends theoretical foundations with hands-on practice in big data analytics, machine learning, statistical modeling, and data visualization. Students are trained to extract insights from complex datasets and make meaningful contributions across business, finance, technology, and government sectors.

Program Highlights

  • Obtain a Data Science certification from IBM.
  • Receive specialized training in professional IT courses, including Azure Cloud, Data Science, Security, and DevOps by Cloud.
  • Engage with expert trainers through virtual/onsite interactive sessions.
  • Explore the creation of dashboards, security frameworks, training models, and real-world applications.
  • Gain exposure to a substantial number of hands-on projects and lab assignments.

Career Scope

Graduates can pursue various career paths in the rapidly growing and dynamic fields of data science and AI. Some potential career options include:

  • Data Scientist
  • Machine Learning Engineer
  • Artificial Intelligence Engineer
  • Big Data Analyst
  • Business Intelligence Analyst
  • AI Research Scientist
  • IoT (Internet of Things) Specialist
  • AI Consultant
  • Natural Language Processing (NLP) Engineer
  • Data Science Trainer or Educator

Why Choose MCA – Data Science with IBM?

  • Learn from IBM-certified modules with global recognition.
  • Build a strong portfolio with project-based learning.
  • Be job-ready with the latest in data science and analytics.
  • Join a growing ecosystem of next-gen professionals.
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Duration : 2 Years

Eligibility : Candidate with any Bachelor Degree in any discipline from any recognized University with minimum of 50% marks in aggregate of all subjects, including languages, if any. Admission is based on MAT / KMAT / PGCET / CMAT Scores. Good track record in Co-Curricular and Extra-Curricular activities shall be an added advantage.

  1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems
  2. Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences
  3. Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations
  4. Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions
  5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations
  6. The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice
  7. Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development
  8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice
  9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings
  10. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions
  11. Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments
  12. Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change

  • PSO1: Sound knowledge in Computing fields
  • PSO1: Competent, creative, and highly valued ethical professionals in the industry
  • PSO1: Become Successful Entrepreneurs

Mission

  • Provide quality innovative teaching and training for the personal development of students in the field of computer applications
  • Equip global standards of technical education by imparting excellent theoretical and practical knowledge to meet the societal needs and the global IT industries
  • Involve the students in meaningful research and ethical service for sustained growth in the fields of computer and software applications