Best Data Science Engineering College in Bangalore - AIT

Our intensive skill-oriented program provides students with practical training in constructing business models for analytics. The curriculum's interdisciplinary nature integrates elements from computer science, statistics, mathematics, and domain-specific areas where data science is applied. Moreover, students gain a deeper understanding of cybersecurity challenges, along with opportunities to pursue relevant professional certifications.

Data science subjects concentrate on analysis of data, visualization, predictive modeling, and analytics for data-driven decisions. Case studies are used to teach knowledge representation, machine learning, artificial intelligence, and deep learning. In industry-specific, custom-designed electives, students can study blockchain technology, quantum computing, data forensics, privacy, algorithmic trading, and data security. Also offered are minor specializations in business, finance, and healthcare analytics.

Program Highlights

  • Curriculum covers foundational computer engineering concepts, mathematics and statistics as well as programming and software development.
  • Students are exposed to technologies and frame works for handling large-scale datasets, including Hadoop, Spark, and distributed computing.
  • In industry-specific, custom-designed electives, students can study blockchain technology, quantum computing, data forensics, privacy, algorithmic trading, and data security.
  • Our dedicated placement cell facilitates the positioning of students in top organisations and provide guidance for excellent career building.
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Why Choose Data Science?

  • Fulfilling Career: Pursuing a course in Computer Engineering and Data Science provides a solid foundation for a dynamic and impactful career in technology, offering a combination of technical expertise, problem-solving skills, and the ability to navigate the ever-evolving landscape of information technology and data-driven decision-making.
  • Global Scope: Professional data scientists have opportunities to work on projects with global implications. The interdisciplinary approach of the stream allows professionals to work on a wide range of projects as data engineer, machine learning engineer, data analyst, data architect, data manager, business analyst, data modeler.
Program Brochure

Overview

Duration : 4 Years

Eligibility : 10+2 with PCM/PMC/PME + English, min 45%. Age 17+.
Entrance Quota : CET/ COMED K / JEE

Refer offer letter for actual fee
Inclusions: Tuition Fee, University Registration, Eligibility Fee, Miscellaneous Fee, Laboratory Fee, Library Fee and Sports Fee.

Exclusions : Uniform & Stationery.
Examination fee as prescribed by the University / Board.
Note : Students are oered complimentary Laptop, OBT, AMCAT/Cocube, Global Immersion Program, Softskill training, Domain training & Linkedin Learning Licence.

FAQ's

Computer Science Engineering (Data Science) is an undergraduate engineering program that combines computer science, statistics, and mathematics to analyze data and derive meaningful insights for decision-making. The course focuses on handling large datasets, predictive modeling, and analytics.

The program is skill-oriented and interdisciplinary. Students learn programming, statistics, machine learning, and analytics along with real-world case studies. The curriculum also includes industry exposure and certification opportunities through collaboration with EC-Council.

Students study:

  • Data analysis & visualization
  • Machine learning and artificial intelligence
  • Predictive modeling
  • Deep learning
  • Knowledge representation
  • Data-driven decision making

Students work with modern big-data technologies such as Hadoop, Spark, distributed computing frameworks, and large-scale data processing systems.

The program is a 4-year Bachelor of Engineering degreeaffiliated with VTU.

Graduates can work as:

  • Data Scientist
  • Data Engineer
  • Machine Learning Engineer
  • Data Analyst
  • Business Analyst
  • Data Architect

Yes. Programming knowledge is important. Languages such as Python and SQL are commonly used for handling and analyzing data.

Students must pass 10+2/PUC with Physics and Mathematics and one of Chemistry/Biology/Computer Science/Electronics with the required marks as per VTU regulations.

Students receive hands-on training through labs, workshops, seminars, projects, and industry-mentored research work.

Data Science professionals are in high demand globally because organizations rely on data-driven decision making across industries such as finance, healthcare, and technology.