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, our partnership with the EC Council enhances students' comprehension of cybersecurity challenges, presenting an opportunity for certification by the company.

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.

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.

Learning Resources

  • Acharya offers well-rounded learning opportunities
  • Classroom theoretical sessions with practical orientation
  • Hands-on training in labs and workshops
  • Referencing libraries and online learning through the internet
  • Interactive learning through seminars and symposia
  • Subject experts and industry eminence guided research and project work and industry mentorship
  • Group dynamics involving club activities
  • Outbound Learning, industry visits and educational tour
  • International Summer / Winter School with our partner institutions
  • Cross-Cultural exposure
  • Augmentative academic for enhancing career opportunities.
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    Overview

    Duration : 4 Years

    Eligibility : Pass in 10+2 / Higher Secondary (HS) / Pre University (PUC) / 'A' Level (with 12 years of schooling) or its equivalent with English as one of the languages. Shall have secured a minimum of 45% marks in aggregate in Physics, Mathematics and any one of the following : Chemistry, Biology, Computer Science, Electronics. AIT admits students as per prevailing rules and regulations of VTU.

    FAQs

    Computing, Computational Mathematics, Statistics, and Management are all entwined in Data Science. As part of data engineering, methods for data collection and storage and retrieval of enterprise data are designed.

    There are many opportunities for advancement in data science in the future, which makes it a very good career choice. Data Scientist has been named "the most promising career" by LinkedIn due to its high demand, competitive salaries, and numerous perks.

    A Bachelor of Technology in Data Science is an undergraduate degree program that teaches students how to extract relevant data from large volumes of data.

    Several data engineering positions require coding skills, coding is a highly valued skill. A good understanding of a programming language, such as Python and SQL is required by many employers.

    In addition to being good for structured data, SQL is easy to learn. However, when you want to build additional, complex data, you need to use Python.

    Candidate with any Bachelor Degree in any discipline from any recognized University with minimum of 50% marks in aggregate of all subjects, including languages, if any. Admission is based on MAT / KMAT / PGCET / CMAT Scores. Good track record in Co-Curricular and Extra-Curricular activities shall be an added advantage.