B.Tech. Computer Science and Engineering - (with Specialization in Data Science) (in Association with IBM)

Program Description

Data Science has become one of the fastest growing fields. Data science combines maths, statistics, specialized programming, advanced analytics and AI to uncover actionable insights hidden in an organization’s data. This course makes you to learn how data science can unlock business insights, accelerate digital transformation and enable data-driven decision making. This course is specifically intended for individuals / professionals with programming skills and combine it with statistical knowledge to create insights from data. This programme has collaboration with IBM, that gives you exactly the breadth and depth which requires to be an expert in the field of data analysis, data visualization and Data Scientist.

Key Highlights and Common Features:

• Co-Designed, Co-Delivered, and Co-Certified curriculum
• Relevant Professional Certificate / Badges
• “T” Skill sets / Dual Specialization
• Industry interface right from the 1 st year
• Job Ready/ Higher studies/ entrepreneurship
• Project-based Lab exercises
• 2 Minor and 2 Major Projects
• Industry and Social Internships

PROGRAMME OUTCOMES

PO1: Engineering knowledge: To apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO2: Problem analysis: To identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO3: Design/development of solutions: To 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.

PO4: Conduct investigations of complex problems: T 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.

PO5: Modern tool usage: To 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.

PO6: The engineer and society: To 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.

PO7: Environment and sustainability: To understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO8: Ethics: To apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9: Individual and Team Work: To function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10: Communication: To 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.

PO11: Project Management and Finance: To 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.

PO12: Life-long Learning: To 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.

PROGRAMME SPECIFIC OUTCOMES

PSO1: To understand and apply the principles of systems which can perform airthmatic and logic using the concepts of computing System, logical modelling, software development and networks for communication.

PSO2: To apply the technological knowledge in the domain of Artificial Intelligence & Machine Learning, Data Science and Cyber Security for providing solutions to real life problems in the field of information technology, which meet the desired needs of industry and society.

PSO3: Graduates would expertise in successful careers based on their understanding of formal and practical methods.

Exit policy for students (* as per NEP) :

a.  After the completion of 1st Year - Certificate in Computer Application / Relevant Engineering
along with Industry Certificates

b.  After the completion of 2nd Year - Diploma in Software Engineering / Relevant Engineering
along with Industry Certificates

c.  After the completion of 3rd Year - Bachelor of Computer Application* / Advance Diploma in
Relevant Engineering* *“with specialization in XYZ”