Diploma in Computer Science & Engineering (AI & ML)

About the Programme

The program provides an introduction to Artificial Intelligence and its broad discipline of intelligent agents and their use in building intelligent machines, Machine Learning introduces to systems that learn from experience and outline the problems based on classification, clustering and regression, and Deep Learning provides in depth knowledge for building Neural Networks and training models.

Eligibility

10th with minimum 40% marks.

For Lateral Entry:

Minimum 40% require in 10+2 examination with Physics/ Mathematics / Chemistry/ Computer Science/ Electronics/ Information Technology/ Informatics Practices Technical Vocational subject/ Engineering Graphics

Or

10th (minimum 40%) + 2 year ITI (minimum 40%) shall be eligible for admission to Second Year Diploma Course(s) in Any branch of Engineering and Technology.

For Migration from Other Universities:

1) Diploma in Engineering 1st year passed with minimum 50% marks or 5.0 CGPA on a 10 point scale

2) Minimum 40% marks at 10th level.

Fee Structure

Duration

3 years

Tuition Fee (per annum)

35,000

Exam Fee (per annum)

15,000

Programme Outcomes

Basic knowledge: An ability to apply knowledge of basic mathematics, science and engineering to solve the engineering problems.

Discipline knowledge: An ability to apply discipline - specific knowledge to solve core and/or applied engineering problems.

Experiments and practice: An ability to plan and perform experiments and practices and to use the results to solve engineering problems.

Engineering Tools: Apply appropriate technologies and tools with an understanding of the limitations.

The engineer and society: Demonstrate knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to engineering practice.

Environment and sustainability: Understand the impact of the engineering solutions in societal and environmental contexts, and demonstrate the knowledge and need for sustainable development.

Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

Individual and team work: Function effectively as an individual, and as a member or leader in diverse/multidisciplinary teams.

Communication: An ability to communicate effectively.

Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the context of technological changes.

Programme Specific Outcomes (PSOs)

Problem-Solving Skills: The ability to apply standard practices and strategies in software & hardware project development using open-source tools to deliver a quality product.

Successful Career and Entrepreneurship: The ability to create innovative career paths to be an entrepreneur, and a zest for higher studies.

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