1. Graduates are successful in their profession with strong basics in engineering, science, and technology 

2. Graduates be able to analyze, design and develop Data Science based solutions for real world problems 

3. Graduates work productively in supportive and leadership roles on multidisciplinary teams with effective communication and team work skills with high regard to legal and ethical responsibilities 

4. Graduates embrace lifelong learning to meet ever changing developments in a data-centric world

1. Engineering Knowledge
Apply knowledge of mathematics, natural science, computing, engineering fundamentals, and an engineering specialisation as specified in WK1 to WK4 to develop solutions for complex engineering problems.

2. Problem Analysis
Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development (WK1 to WK4).

3. Design / Development of Solutions
Design creative solutions for complex engineering problems and design/develop systems, components, or processes to meet identified needs with consideration for public health and safety, whole-life cost, net zero carbon, culture, society, and environment as required (WK5).

4. Conduct Investigations of Complex Problems
Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis, and interpretation of data to provide valid conclusions (WK8).

5. Engineering Tool Usage
Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling, recognizing their limitations, to solve complex engineering problems (WK2 and WK6).

6. The Engineer and the World
Analyze and evaluate societal and environmental aspects while solving complex engineering problems for their impact on sustainability with reference to economy, health, safety, legal framework, culture, and environment (WK1, WK5, and WK7).

7. Ethics
Apply ethical principles and commit to professional ethics, human values, diversity and inclusion, and adhere to national and international laws (WK9).

8. Individual and Collaborative Team Work
Function effectively as an individual, and as a member or leader in diverse and multidisciplinary teams.

9. Communication
Communicate effectively and inclusively within the engineering community and society at large, including the ability to comprehend and write effective reports and design documentation, and make effective presentations considering cultural, language, and learning differences.

10. Project Management and Finance
Apply knowledge and understanding of engineering management principles and economic decision-making to one’s own work, as a member or leader in a team, and to manage projects in multidisciplinary environments.

11. Life-Long Learning
Recognize the need for, and have the preparation and ability for
i) independent and lifelong learning,
ii) adaptability to new and emerging technologies, and
iii) critical thinking in the broadest context of technological change (WK8).

Knowledge and Attitude Profile (WK)

WK1: A systematic, theory-based understanding of the natural sciences applicable to the discipline and awareness of relevant social sciences.

WK2: Conceptually-based mathematics, numerical analysis, data analysis, statistics and formal aspects of computer and information science to support detailed analysis and modelling applicable to the discipline.

WK3: A systematic, theory-based formulation of engineering fundamentals required in the engineering discipline.

WK4: Engineering specialist knowledge that provides theoretical frameworks and bodies of knowledge for the accepted practice areas in the engineering discipline; much is at the forefront of the discipline.

WK5: Knowledge, including efficient resource use, environmental impacts, whole-life cost, re-use of resources, net zero carbon, and similar concepts, that supports engineering design and operations in a practice area.

WK6: Knowledge of engineering practice (technology) in the practice areas in the engineering discipline.

WK7: Knowledge of the role of engineering in society and identified issues in engineering practice in the discipline, such as the professional responsibility of an engineer to public safety and sustainable development.

WK8: Engagement with selected knowledge in the current research literature of the discipline, awareness of the power of critical thinking and creative approaches to evaluate emerging issues.

WK9: Ethics, inclusive behavior and conduct. Knowledge of professional ethics, responsibilities, and norms of engineering practice. Awareness of the need for diversity by reason of ethnicity, gender, age, physical ability etc. with mutual understanding and respect, and of inclusive attitudes.

1. The ability to understand, analyze, build and assess data-based models.

2. The ability to apply data science concepts and methods to solve problems in real-world contexts

3. Able to independently carry out research/investigation to solve practical problems

The Department adopts a variety of pedagogical approaches to promote effective teaching, learning, and holistic student development. These approaches integrate traditional classroom
instruction with experiential and activity-based learning practices.
Lectures
Expert Lectures
MOOCS/NPTEL Courses
Alumni Talk
Collaborative Learning (PBL, Quiz, Video Play, Think-Pair-Share, Case Studies)
Industrial Visits
Professional Society Activities
Soft Skills Training
Mini / Major Projects
In addition to the traditional teaching and learning process, industry collaborated programs are been actively implemented in the department.

The key strategies adopted for implementing educational reforms are:

The University adopts the following strategies to implement educational reforms

• Outcome Based Curriculum Design
• Multidisciplinary Curriculum Structure
• Interdisciplinary Learning Opportunities
• Exploratory and Experiential Learning
• Flexible Elective System-The program provides Program Electives and Open Electives
• Skill Development
• MOOCs and Self Learning Platforms
• Academic Bank of Credits (ABC)
• APAAR Implementation