KCET CODE : E300 | COMEDK CODE : E005
KEA - PGCET CODE : VTU : Akash institute of engineering & Technology | MBA - B097 | MCA - C550
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        • BE Artificial Intelligence & Data Science
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        • BE Computer Science Engineering (Data Science)
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BE Artificial Intelligence

and Data Science
Explore Courses

BE Artificial

Intelligence and
Data Science
Explore Courses

BE Artificial Intelligence and Data Science

The Department of Artificial Intelligence and Data Science at Akash Institute of Engineering and Technology (AIET), recognized among the premier AI and data science engineering colleges in Bangalore, was established in 2023. The Department offers a comprehensive full-time undergraduate programme in Artificial Intelligence and Data Science. The programme is affiliated to Visvesvaraya Technological University, Belagavi, Karnataka and approved by the All India Council for Technical Education (AICTE), New Delhi.
As one of the leading colleges for AI data science in Bangalore, the Department of Artificial Intelligence and Data Science at Akash Institute of Engineering and Technology focuses on cutting-edge research and education in the fields of AI and data science. What distinguishes us among AI and data science engineering colleges in Bangalore is our concentration on both theoretical and practical aspects of artificial intelligence and data science, including machine learning, deep learning, natural language processing, computer vision, and big data analytics. Students at our institute, which ranks among the top colleges for AI data science in Bangalore, are encouraged to engage in research activities, participate in competitions, and contribute to ongoing projects that solve real-world problems.
What drives us?

Today’s vision for tomorrow

VISION

To emerge as a center of excellence in Artificial Intelligence and Data Science by imparting quality education, fostering innovation, and producing competent professionals to meet global and societal needs.

MISSION

  • To provide outcome-based education with strong fundamentals in Artificial Intelligence and Data Science through an industry-aligned curriculum.
  • To collaborate with industry and academic institutions for internships, live projects, and knowledge exchange.
  • To inculcate professional ethics, leadership qualities, and social responsibility among students.
  • To equip students with technical and soft skills for employability, higher education, and lifelong learning.

VISION

To emerge as a center of excellence in Artificial Intelligence and Data Science by imparting quality education, fostering innovation, and producing competent professionals to meet global and societal needs.

MISSION

  • To provide outcome-based education with strong fundamentals in Artificial Intelligence and Data Science through an industry-aligned curriculum.
  • To collaborate with industry and academic institutions for internships, live projects, and knowledge exchange.
  • To inculcate professional ethics, leadership qualities, and social responsibility among students.
  • To equip students with technical and soft skills for employability, higher education, and lifelong learning.

Course Duration & Eligibility

Duration: 4 years (semesters)

STUDENTS INTAKE: 180

  • Eligibility Criteria
  • Admission
Second year Pre-University or XII standard or equivalent examination recognized by the University with English as one of the language. Shall have secured a minimum of 45% marks in aggregate (40% marks in aggregate for SC/ST) in Physics, Mathematics as compulsory subjects, along with any one of the following subjects, namely, Chemistry, Bio-Technology, Computer Science, Biology and Electronics.
Admission to II year/ III semester Bachelor Degree in Engineering/ Technology (Lateral Entry) shall be open to the candidates who are holders of a diploma or equivalent qualification as recognized by University with a minimum of 45% marks in aggregate (40% marks in aggregate for SC/ST)
Through KCET/COMEDK/Management
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Program Outcomes

Engineering Knowledge

Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization to develop to 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.

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.

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.

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.

Admission procedure

We offer a range of undergraduate and postgraduate programs in various engineering disciplines. At the Akash Institute of Engineering & Technology, each program is designed to meet industry demands and nurture a deep understanding of the subject.

Students have to log in first to the application portal
Students should correctly fill in all the details mentioned in the application form
Submit the application form with the required documents
The shortlisted students will be invited for the selection process

Faculty

The strength and backbone of the department at one of the leading colleges for data science comprises well-qualified and dedicated faculty with teaching and industry experience averaging 10 years in data science engineering. Our department is highly supportive of research activities for both faculty and students, which reinforces our position among the top data science engineering colleges in Bangalore. The department also conducts proficiency courses on fundamental and new programming languages and computer science concepts, making it one of the preferred data science engineering colleges in Karnataka. Our comprehensive data engineering courses in Bangalore are designed to meet industry standards and prepare students for real-world challenges.
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Faculty

The strength and backbone of the department at one of the leading colleges for data science comprises well-qualified and dedicated faculty with teaching and industry experience averaging 10 years in data science engineering. Our department is highly supportive of research activities for both faculty and students, which reinforces our position among the top data science engineering colleges in Bangalore. The department also conducts vocational courses and proficiency courses on fundamental and new programming languages and computer science concepts, making it one of the preferred data science engineering colleges in Karnataka. Our comprehensive data engineering courses in Bangalore are designed to meet industry standards and prepare students for real-world challenges.
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Career opportunities & Placement

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Activities

The department, standing out among data science engineering colleges in Karnataka, conducts various activities as part of the teaching-learning process to enhance students’ learning ability, academic performance, and placement outcomes, in addition to the regular academic syllabus:
  • Hackathons
  • AI Coding
  • Technical Workshops
  • Hands-on Training
  • Guest Lectures from Industry Experts
  • Student- AI & Data Science Club
  • Hackathons
  • AI Coding
  • Hands-on Training
  • Guest Lectures from Industry Experts
  • Student- AI & Data Science Club
  • Technical Workshops
  • Seminars
  • Industrial Visits
  • AI Awareness Programs
  • Campus Connect Programs
  • Entrepreneurship Activities
  • Project Showcases
  • Seminars
  • Industrial Visits
  • Campus Connect Programs
  • Entrepreneurship Activities
  • Project Showcases
  • AI Awareness Programs
  • Research & Publications
  • Student Mentoring
  • Interdisciplinary Learning
  • Placement Training
  • Research & Publications
  • Student Mentoring
  • Placement Training
  • Interdisciplinary Learning

Infrastructure & Facilities

AIET, as one of the distinguished data science engineering colleges in Bangalore, boasts excellent infrastructure and world-class facilities that enhance learning abilities and help students achieve their goals in data science:

Modern lecture halls with contemporary amenities and smart classroom technology

High-performance computing resources and advanced computer laboratories

Comprehensive library facility with extensive collection of books, journals, and digital resources

Strong industry collaboration partnerships with leading IT companies

Dedicated placement cell for internship and career assistance

Latest software tools and development platforms for hands-on learning

Our state-of-the-art facilities position us among the best colleges for data science, providing students with access to cutting-edge technology, cloud computing platforms, and data science tools essential for modern data science engineering education. This infrastructure makes us one of the most sought-after data science engineering colleges in Karnataka.

Courses Offered at AIET

Curated for creators, innovators & future leaders

Explore the range of courses offered by Bangalore’s best engineering college, Akash Institute of Engineering & Technology.

  • Engineering
  • Management
  • Computer Applications
BE Computer Science & Engineering

BE Computer Science & Engineering

BE Information Science & Engineering

BE Information Science & Engineering

BE Artificial Intelligence & Machine Learning

BE Artificial Intelligence & Machine Learning

BE Artificial Intelligence & Data Science

BE Artificial Intelligence & Data Science

BE Computer Science Engineering (Cyber Security)

BE Computer Science Engineering (Cyber Security)

BE Computer Science Engineering (Data Science)

BE Computer Science Engineering (Data Science)

BE Electronics & Communication Engineering

BE Electronics & Communication Engineering

BE Mechanical Engineering

BE Mechanical Engineering

Department of Applied Science & Humanities

Department of Basic Science & Humanities

BE Computer Science & Engineering

Master of Business
Administration

BE Computer Science & Engineering

Master of Computer
Applications

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