-+What exactly comes to your mind when you hear about the term Machine Learning? For sure many of you have answered this question with examples like self-driven cars and voice assistant systems like Apple's Siri, Amazon's Alexa, Microsoft's Cortana and Google's Assistant. Now you must have wondered sometimes why tech giants like Google, Facebook, Uber and educational firms like BYJU’s invest heavily on domains like Machine Learning and have made it an integral part actually in their daily operations, so the answer lies in the fact that training systems and Machines using huge and diverse range of data sets help these companies to analyze and predict users behavior and business outcomes in the long run. And if we observe things from the eye of a common man, since everyone is connected with each other through different digital mediums, they want amazing, faster and innovative services in every domain be it healthcare, banking or their home itself.
Also if we talk about the scope of Machine Learning, so everything be it personalized suggestions you see on shopping websites or streaming platforms like Netflix, Amazon Prime or Youtube or spam filtering use use to get rid of unwanted emails, digital assistants like Siri or Alexa, image recognition, speech recognition, Facebook auto-tagging, recommender systems, everywhere ML is being used extensively to give best experience to user.
Hence, GD Goenka University of Gurgaon is offering a unique 3 years BCA Degree course in the discipline of Machine Learning in collaboration with Microsoft with an aim to bridge the gaps between students skills and industries demands and also to prepare world class professionals who can work with global firms and tech giants and bring new innovations to the field of ML. Total fees for the course is INR 4,90,000.
BCA in Machine Learning Course Highlights
- 3 years program
- World class infrastructure and facilities to give best learning experience to students
- GD Goenka University has strong associations with Indian Universities, Association of Commonwealth Universities and International Association of Universities
- University also offers scholarship to students based on their academic performance
Course Curriculum
Semester 1
Course Code | Course Title | L | T | P | Credits |
---|---|---|---|---|---|
MAT1705 | Basic Mathematics | 3 | 1 | 0 | 4 |
CAP1001/ CAP1001L | Computer Programming Basics | 3 | 0 | 4 | 5 |
CAP1004/CAP1004L | Introduction to Information Technology | 3 | 0 | 2 | 4 |
COM1006/ COM1006L | Communication skills | 2 | 0 | 2 | 3 |
ENV1701 | Environmental Studies | 3 | 0 | 0 | 3 |
CAP1501 | Hardware Lab | 0 | 0 | 2 | 1 |
Total Credits | - | - | - | 20 |
Semester 2
Course Code | Course Title | L | T | P | Credits |
---|---|---|---|---|---|
MAT1706 | Introduction to Statistics | 3 | 1 | 0 | 4 |
CAP2710 | System Software | 3 | 0 | 0 | 3 |
CAP1003/ CAP1003L | Introduction to Object Oriented Concepts Using C ++ | 3 | 0 | 2 | 4 |
ITL1001/ITL1001L | Computer Networks | 3 | 0 | 2 | 4 |
CAP1002/ CAP1002L | Digital Electronics/ Digital Electronics Lab | 3 | 0 | 2 | 4 |
VAL1722 | Human values and Ethics | 2 | 0 | 0 | 2 |
Total Credits | - | - | - | 21 |
Semester 3
Course Code | Course Title | L | T | P | Credits |
---|---|---|---|---|---|
CAP2007/ CAP2007L | Principles of Operating Systems | 3 | 0 | 2 | 4 |
CAP2009/CAP2009L | Python Programming | 3 | 0 | 2 | 4 |
CAP2002/ CAP2002L | Introduction to Database Management Systems | 3 | 0 | 2 | 4 |
CAP2709 | Discrete Structures | 3 | 0 | 0 | 3 |
CAP2702 | Computer System Architecture | 3 | 1 | 0 | 4 |
IPT2001 | Interdisciplinary Project - I | - | - | - | 3 |
CAP2001/ CAP2001L | Data Structure using C | 3 | 0 | 4 | 5 |
Total Credits | - | - | - | 27 |
Semester 4
Course Code | Course Title | L | T | P | Credits |
---|---|---|---|---|---|
CAP2005/ CAP2005L | Software Engineering Fundamentals | 3 | 0 | 2 | 4 |
CAP2006/ CAP2006L | Microprocessors | 3 | 0 | 2 | 4 |
CAP2003/ CAP2003L | Java Fundamentals | 3 | 0 | 2 | 4 |
ITL2003/ITL2003L | Web Technologies and Applications | 3 | 0 | 2 | 4 |
CAP2010/ CAP2010L | Animation Techniques | 2 | 0 | 4 | 4 |
IPT2002 | Interdisciplinary Project - II | - | - | - | 3 |
CAP2701 | System Analysis & Design | 3 | 0 | 0 | 3 |
Total Credits | - | - | - | 26 |
Semester 5
Course Code | Course Title | L | T | P | Credits |
---|---|---|---|---|---|
CAP3002/CAP3002L | Mobile Application Development | 2 | 0 | 2 | 3 |
CAP3005/CAP3005L | System Administration | 2 | 0 | 4 | 4 |
Department Elective -I | 3 | 0 | 0 | 3 | |
Open Elective-I | 3 | 0 | 0 | 3 | |
CAP3501 | Project Work - I | 0 | 0 | 0 | 5 |
IND2002 | Industrial Training Evaluation | - | - | - | 3 |
Total Credits | - | - | - | 21 |
Semester 6
Course Code | Course Title | L | T | P | Credits |
---|---|---|---|---|---|
CAP3004/CAP3004L | Artificial Intelligence | 3 | 0 | 2 | 4 |
CAP2707 | Management Information System | 3 | 0 | 0 | 3 |
CAP3701 | Cloud Computing | 3 | 1 | 0 | 4 |
Department Elective -II | 3 | 0 | 0 | 3 | |
CAP 3502 | Project Work-II | 0 | 0 | 0 | 12 |
Total Credits | - | - | - | 26 |
BCA - Machine Learning Eligibility Criteria
Candidates who wish to pursue BCA in Machine Learning must have qualified 10+2 from any recognized board with at least 50% marks and with English as a compulsory subject.
How to Apply for BCA (ML) at GD Goenka University, Gurgaon?
The GD Goenka University grants admission to students through online mode and cited below are the steps for the same.
- Go to the official website of college at: https://www.gdgoenkauniversity.com/#
- Fill the detailed application form at: https://applications.gdgoenkauniversity.com/
- Pay the application fee and submit the form.
- And at last, the University releases a list of final candidates after verifying their application form and documents.
Career Opportunities after BCA in Machine Learning from GD Goenka University
Students after successfully completing the BCA course in Machine Learning will have tremendous work opportunities and they can join companies like HP, Flipkart, Capgemini, Aricent, Syntel, Cognizant, Patni, Snapdeal, Accenture and WNS as a Artificial Intelligence / Machine Learning Developer, Lead Artificial, Intelligence / Machine Learning Engineer, Artificial Intelligence / Machine Learning Architect, Data Scientist, Research scientist, Data Analyst, Business Analyst and as a NLP Engineer. Also pursuing Masters is always an option to explore much in this domain and students can even start their own business.
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