KCET CODE : E300 | COMEDK CODE : E005
KEA - PGCET CODE : VTU : Akash institute of engineering & Technology | MBA - B097 | MCA - C550
  • Home
  • About Us
  • Department
    • UG Programs
      • Engineering
        • BE Computer Science & Engineering
        • BE Information Science & Engineering
        • BE Computer Science (Artificial Intelligence & Machine Learning)
        • BE Artificial Intelligence & Data Science
        • BE Computer Science Engineering (Cyber Security)
        • BE Computer Science Engineering (Data Science)
        • BE Electronics & Communication Engineering
        • BE Mechanical Engineering
        • Department of Basic Science & Humanities
    • PG Programs
      • Management
        • MBA
      • Computer Application
        • MCA
  • Campus
    • Campus Life
    • Infrastructure
  • Faculty
  • Others
    • Grievance
    • Events
    • News
    • Careers
  • Contact Us
Download Brochure
AICTE Approval 2026-27 AICTE Approval 2025-26 AICTE Approval 2024-25 AICTE Approval 2023-24
Mandatory Disclosure
  • Home
  • About Us
  • Department
    • UG Programs
      • Engineering
        • BE Computer Science & Engineering
        • BE Information Science & Engineering
        • BE Computer Science (Artificial Intelligence & Machine Learning)
        • BE Artificial Intelligence & Data Science
        • BE Computer Science Engineering (Cyber Security)
        • BE Computer Science Engineering (Data Science)
        • BE Electronics & Communication Engineering
        • BE Mechanical Engineering
        • Department of Basic Science & Humanities
    • PG Programs
      • Management
        • MBA
      • Computer Application
        • MCA
  • Campus
    • Campus Life
    • Infrastructure
  • Faculty
  • Others
    • Grievance
    • Events
    • News
    • Careers
  • Contact Us

BE Computer Science

Engineering
(Data Science)
Explore Courses

BE Computer Science

Engineering
(Data Science)
explore courses

BE Computer Science Engineering (Data Science)

The Department of Computer Science in Data Science at Akash Institute of Engineering and Technology (AIET), recognized among the premier data science engineering colleges in Bangalore, was established in 2023. The Department offers a comprehensive full-time undergraduate programme in Computer Science in Data Science. As one of the leading data science engineering colleges in Karnataka, the programme is affiliated to Visvesvaraya Technological University, Belagavi, Karnataka and approved by the All India Council for Technical Education (AICTE), New Delhi.
What distinguishes us among colleges for data science is our state-of-the-art infrastructure. The department is built with fully furnished classrooms and laboratories equipped with high-tech equipment. We have well-developed laboratories with high-end machines and the latest software essential for data science engineering. All laboratories are networked and connected to a high-end server hierarchy through a gateway, ensuring every student has access to an individual system with a 500 Mbps dedicated Internet link.
As one of the prominent data science engineering colleges in Bangalore, the department provides Industry-Institute Interaction Learning programs to build bridges between the institute and industry by conducting expert talks from industry professionals. The department conducts subjects with extensive hands-on sessions and encourages both students and faculty members to pursue MOOC-based online courses through platforms like NPTEL, Oracle Academy, IITBombayX, Coursera, and Udacity, which are integral to our data engineering courses in Bangalore.
What drives us?

Today’s vision for tomorrow

VISION

“To become a center of excellence in Computer Science Engineering with a specialization in Data Science, fostering innovation, research, and ethical data-driven solutions that address real-world challenges and contribute to technological and societal advancement”.

MISSION

  • To equip students with robust knowledge in computer science, statistics, machine learning, artificial intelligence, and big data technologies.
  • To encourage research, interdisciplinary collaboration, and the development of innovative data-driven solutions.
  • To prepare students for successful careers in data science and related fields through practical exposure, internships, and industry partnerships.
  • To instill ethical values, social responsibility, and awareness of data privacy, security, and fairness in AI systems.

VISION

“To become a center of excellence in Computer Science Engineering with a specialization in Data Science, fostering innovation, research, and ethical data-driven solutions that address real-world challenges and contribute to technological and societal advancement”.

MISSION

  • To equip students with robust knowledge in computer science, statistics, machine learning, artificial intelligence, and big data technologies.
  • To encourage research, interdisciplinary collaboration, and the development of innovative data-driven solutions.
  • To prepare students for successful careers in data science and related fields through practical exposure, internships, and industry partnerships.
  • To instill ethical values, social responsibility, and awareness of data privacy, security, and fairness in AI systems.

Course Duration & Eligibility

Duration: 4 years (8 semesters)

STUDENTS INTAKE: 30

  • 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
Download Brochure

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.

Faculty

The Department of Information Science and Engineering, ranking among the top information science engineering colleges in Bangalore, has a team of well-qualified and experienced teaching staff members. Our faculty members, along with their regular academic activities, have published numerous technical papers in various reputed peer-reviewed journals and international conferences. Additionally, faculty members hold patents and have authored book chapters to support the student community, reinforcing our reputation among information science engineering colleges in Bangalore.
Know More

Faculty

The Department of Information Science and Engineering, ranking among the top information science engineering colleges in Bangalore, has a team of well-qualified and experienced teaching staff members. Our faculty members, along with their regular academic activities, have published numerous technical papers in various reputed peer-reviewed journals and international conferences. Additionally, faculty members hold patents and have authored book chapters to support the student community, reinforcing our reputation among information science engineering colleges in Bangalore.
Know More

Career opportunities & Placement

Know more

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
  • Coding & Data Challenges
  • Cyber Security Workshops
  • Hands-on Training
  • Guest Lectures from Industry Experts
  • Student-Led Data Science Club
  • Hackathons
  • Coding & Data Challenges
  • Hands-on Training
  • Guest Lectures from Industry Experts
  • Student-Led Data Science Club
  • Cyber Security Workshops
  • Seminars
  • Portfolio Building
  • Industrial Visits
  • Campus Connect Programs
  • Entrepreneurship Activities
  • Project Showcases
  • Research & Publications
  • Student Mentoring
  • Interdisciplinary Learning Placement Training
  • Seminars
  • Portfolio Building
  • Industrial Visits
  • Campus Connect Programs
  • Entrepreneurship Activities
  • Research & Publications
  • Student Mentoring
  • Interdisciplinary Learning Placement Training
  • Project Showcases

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

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:

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

Prasannahalli Road, Devanahalli, Near Kempegowda International Airport, Bengaluru – 562110
Facebook Youtube Instagram
  • +91 9743803555
  • +91 9743873555
  • info@akashiet.com

Quick Links

  • Home
  • About us
  • Deparment
  • Campur Tour
  • Contact Us
  • Infrastructure
  • Placement Cell
  • Careers
  • Blogs
Want more info

DROP US A MESSAGE

    © 2026 BUD India. All Rights Reserved.