The major goal of this course is to impart knowledge on techniques and theories related to data science which includes statistics, data mining, data warehousing and data visualization.

KMIT offers a four-year under-graduate B.Tech course in Data Science. Data Science continues to evolve as one of the most promising and in-demand career paths. As the world entered the era of big data, handling it was the main challenge and concern for the enterprise industries until 2010. Unlike data in the traditional systems which was mostly structured, today most of the data is unstructured or semi-structured. A Data Scientist, according to Harvard Business Review, “is a high-ranking professional with the training and curiosity to make discoveries in the world of Big Data”. Therefore it comes as no surprise that Data Scientists are coveted professionals in the Data Analytics and IT industry. With experts predicting that 40 zettabytes of data will be in existence by 2020, Data Science career opportunities will only shoot through the roof! Shortage of skilled professionals in a world which is increasingly turning to data for decision making has also led to the huge demand for Data Scientists in start-ups as well as well-established companies. More than 50,000 jobs in the Data Science and Machine Learning are lying vacant in India, for lack of skilled professionals.

Vision of the Department

To be among the region's premier teaching and research Computer Science and Engineering departments producing globally competent and socially responsible graduates in the most conducive academic environment.

Mission of the Department

• To provide faculty with state of the art facilities for continuous professional development and research, both in foundational aspects and of relevance to emerging computing trends.

• To impart skills that transform students to develop technical solutions for societal needs and inculcate entrepreneurial talents.

• To inculcate an ability in students to pursue the advancement of knowledge in various specializations of Computer Science and Engineering and make them industry-ready.

• To engage in collaborative research with academia and industry and generate adequate resources for research activities for seamless transfer of knowledge resulting in sponsored projects and consultancy.

• To cultivate responsibility through sharing of knowledge and innovative computing solutions that benefit the society-at-large.

• To collaborate with academia, industry and community to set high standards in academic excellence and in fulfilling societal responsibilities.

Program Educational Objectives (PEOs)

• Graduates will have successful careers in computer related engineering fields or will be able to successfully pursue advanced higher education degrees.

• Graduates will try and provide solutions to challenging problems in their profession by applying computer engineering principles.

• Graduates will engage in life-long learning and professional development by rapidly adapting changing work environment.

• Graduates will communicate effectively, work collaboratively and exhibit high levels of professionalism and ethical responsibility.

Programme Outcomes (POs)

• Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

• 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.

• 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.

• 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.

• Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.

• 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.

• 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.

• 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 teams, and in multidisciplinary settings.

• 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.

• 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.

• 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.

List of Program Specific Outcome's (PSO's)

• An ability to analyze the common business functions to design and develop appropriate Computer Science solutions for social upliftments.

• Shall have expertise on the evolving technologies like Python, Machine Learning, Deep Learning, Internet of Things (IOT), Data Science, Full stack development, Social Networks, Cyber Security, Big Data, Mobile Apps, CRM, ERP eetc.