Overview


Machine learning is a subfield of artificial intelligence (AI). The goal of machine learning generally is to understand the structure of data and fit that data into models that can be understood and utilized by people.
Although machine learning is a field within computer science, it differs from traditional computational approaches. In traditional computing, algorithms are sets of explicitly programmed instructions used by computers to calculate or problem solve. Machine learning algorithms instead allow for computers to train on data inputs and use statistical analysis in order to output values that fall within a specific range. Because of this, machine learning facilitates computers in building models from sample data in order to automate decision-making processes based on data inputs.


Course Overview
• Designed by Industry Experts and IIT/NIT professors
• B-Tech Degree from partner College/University
• 10+ Industry mentorship session every semester
• 450+ hours of hands- On experience • Dedicated Student Mentors
• Student learning platform for Doubt Resolution
• Job Placement with Top Firms


Eligibility Criteria

Eligibility Criteria

1. Criteria of Number of subjects in 10+2 Examination.

10+2 or its equivalent examination must be passed with a minimum of 5 subjects (equivalence as defined BCEE - 2020). Candidates with 4 subjects in 10+2 class, except ICSE (CISCE board), are not eligible.


2. Criteria of Minimum Educational Qualification and Year of Passing.

The 10+2 examination must be passed in the years 2018, 2019 or 2020. All candidates must produce the original copies of results latest by 03 Aug 2020.


3. Criteria of Subjects and Marks in 10+2 Exams.

(a) The candidate must obtain a minimum of 60% aggregate marks in three subjects to include:

(i) Physics, and Mathematics (Compulsory) and,

(ii) One subject amongst the subjects mentioned below

Agriculture Science / Biology / Chemistry / Computer Science / Economics


4. Brainztorm Common Entrance Examination (BCEE) – 2020 Qualification.

Candidates who fulfill the eligibility as above shall be required to qualify in BCEE - 2020.

Fee Structure

  • Enrollment Fee: 2100/- INR (One Time)
  • Annual Tuition Fee: 125000/- INR (It may vary according to study center)

Method Of Teaching / Examination

The teaching methods involve two primary complementary processes: learning and teaching students learn by utilizing different mediums such as hearing (by attending classroom lectures) and seeing and by applying different methods such as practical, memorizing, visualizing or logically understanding. Once the delivery ends, our experienced faculty of IIT/NIT instruct by utilizing different approaches: visual or auditory, face-to-face or online, theoretical delivery or practical demonstration, and so on.
Apart from lectures and seminars, the students are involved in a range of exercises with the aim of learning how to use certain kinds of methods, materials, and techniques.

Syllabus

coming soon

Job Opportunity

    • Career Prospects:
      • The curriculum prepares students for a career in software industry by equipping the students with the latest revolution in technology.
      • The program aims to educate students in Computer Science and Information Technology with emphasis on hands-on practical training in software development.
      • Creates the ability to design a computer application by considering realistic constraints such as safety, security and applicability.
      • Prepares the students to work professionally pertaining to ethics, social, cultural and cyber regulations.
    • Students can develop themselves as:
      • System Engineer
      • Programmer
      • Web Developer
      • System Administrator
      • Software Developer