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B. Tech Computer Science and Engineering (Data Science) has been designed with long term program educational objectives listed below. All enrolled students are nurtured to exhibit these skills after 4-5 years of graduation. This program aims to achieve specific outcomes so that students can be well equipped to solve complex problems by applying the core engineering knowledge of Computer Science and Engineering. At the same time, they must have focused on data science acumen which is highly sought after in the current era.

DURATION

4 years, 8 semesters

SELECTION PROCESS

NMIMS CET/ SAT/ACT Scores

(The NMIMS Common Entrance Test (NCET) is a mandatory university-level examination for admission to Undergraduate Engineering degree programmes at MPSTME.)

ELIGIBILITY

12th class or equivalent from a recognized board with not less than 45% in Physics, Chemistry & Mathematics / vocational subject. Candidates passing out in 2024 can apply.

Programme Educational Objectives

Program Specific Outcomes (PSO)
  • Application of Engineering Knowledge to Solve Complex Problems: Graduates will be able to apply principles of computer engineering, including software and hardware design, data structures and algorithms to develop solutions for complex engineering problems.
  • Data Science Acumen: Graduates will be skilled in applying machine learning techniques and data analytics tools to manage and analyze data, providing insights that enhance decision-making and solve real-world problems.
Program Outcomes (PO)

Graduates of the B Tech Computer Science and Engineering (Data Science) programme will have the ability to:

  • Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization to develop the solution of complex engineering problems.
  • Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development.
  • Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required.
  • Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions.
  • Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems.
  • The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment.
  • Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws.
  • Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
  • Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences
  • Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
  • Life-Long Learning: Recognize the need for and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change.