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+91 9620349000

Mail Us:

principal@acetedu.net, info@acetedu.net

Address:

No 2/9, Kamakshipura, Hesaraghatta Hobli, Yelahanka, Bengaluru- 560089

Data Science

Data Science Engineering Colleges in Bangalore

The Department of Data Science [DS] is started in the year 2023 with an intake of 60. Since then, the department is striding in a progressive path. The course is affiliated to Visvesvaraya Technological University, Belgaum. The department offers academic programmes at the Under Graduate level with the state-of-the art facilities. The department has a team of well qualified, experienced and dedicated staff members.

The department has well equipped laboratories with state-of-the-art computing facilities installed with the necessary licensed software’s. The department is helping the students in getting exposure to the cutting-edge technologies. Students are encouraged to participate in various intercollegiate technical events, cultural activities and sports.

VISION

To prepare students to serve society with a holistic approach and participate in nation building and also to nurture students to be globally competent professionals with strong software development expertise, a passion for research, and a commitment to ethical values.

MISSION

Produce technically competent graduates through a well-structured curriculum and interdisciplinary applications and to lay a strong foundation in theoretical concepts and experimental learning in the field of artificial intelligence and machine learning, and allied fields.
Create a competitive ambiance for grooming young minds to meet the industry trends and become self-sustainable.
Impart knowledge of innovative technologies to encourage research and higher studies within the core areas of computation and to promote innovation and entrepreneurship ideas among students to be job creators in the future.
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Program outcome

Apply the acquired mathematical, scientific, and engineering skills to meet the growing challenges of the industry, pursue higher education, and research.
Problem analysis: Identify, formulate, research literature, and analyse 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 public health and safety, and 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 the 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
Communication: Communicate effectively on complex engineering activities with the engineering community and with the 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 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.
Programme Specific Outcome

Department of Data Science: Graduates will be able to

  • Work effectively as an individual and in a team, exhibiting leadership qualities to meet the goals of the organization.
  • To be able to adapt to the evolving technical challenges and changing career opportunities and to pursue higher education.
  • Learn to apply modern skills, techniques, and engineering tools to create computational systems.

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