MAA Academy

Bachelor of Computer Application in Artificial Intelligence & Machine Learning

Eligibility Criteria:

Any student who has passed PUC under Karnataka PU Board or +2 under CBSE/ICSE/other boards in ANY discipline with a minimum of 45 % aggregate

About The Program:

BCA in AI & ML

The Bachelor of Computer Applications (BCA- In AI & ML) program is a dynamic, full-time course that blends theoretical concepts with hands-on practical training, preparing students for the ever-evolving tech landscape. This 3-year undergraduate program is designed to equip students with a strong foundation in computer science and applications in AI and ML.

One of the key advantages of pursuing a BCA course is its flexibility and scope. This comprehensive curriculum ensures that graduates are well-rounded professionals ready to tackle real-world challenges in the tech industry. Whether students aspire to become software developers, web developers, network administrators, system analysts, or IT consultants.  The course also prepares students for further studies in computer science and related fields.

With state-of-the-art facilities, a faculty of experts, and a vibrant campus community, We provides the perfect environment for growth and exploration. Whether you aspire to be a AI Engineer, ML Expert, software developer, data analyst, or IT consultant, our BCA program equips you with the skills to excel in any path you choose.

Srinivas University - Bengaluru

After educating young minds for 32 glorious years in the coastal city of Mangaluru, Srinivas University continues its legacy in Bengaluru, the silicon valley of India!  With its dedicated faculty, innovative curriculum and modern infrastructure, Srinivas University aim towards being a symbol of excellence and a place where the nation’s future is made ready for the world! Bringing to you educational programmes that are developed keeping in mind the growing society and rising career opportunities.

Srinivas University - Mangalore

Srinivas University, Mangalore, is a Private Research and skill-focused University in Mangalore, Karnataka, India established in 2013 by Karnataka State Act. The university is the flagship of 18 Srinivas Group of Institutions started by A. Shama Rao Foundation, Mangalore, India, a private Charitable Trust founded in 1988 by an Eminent Chartered Accountant A. Raghavendra Rao. Presently, Srinivas University offers undergraduate, postgraduate, and research courses under 10 Faculties/Colleges with about 160 courses. The University made innovations in designing and starting new super speciality programmes both in UG, and PG level as per present and future industry relevance, innovations in examination system through focus on continuous evaluation and to make it foolproof. The University has established networking with many industries, universities, and Education service providers to substantially improve the quality and weightage of the courses and degrees respectively.

Srinivas University - Transforming Society with Education


To be a trendsetter among universities and build students who emerge as leaders with competence, conscience and compassion by empowering them with sound education and high standards of ethical and professional


Our mission is to provide an exceptional learning environment where students can develop and enhance their leadership and teamwork skills, creative and intellectual powers and passion for learning by providing an uncompromising standard of excellence in teaching; embodying the spirit of excellence to educate the citizen-leaders of society with distinction.

About MAA Academy

Pioneers In The World Of Advertising & Marketing

Founded in the year 1959, MAA Communications started out as Marketing and Advertising Associates. One of the first independent Indian advertising agencies to roll out brand communications across India, driven by the passion of a visionary, Ayaz S Peerbhoy.

Since then, the company has grown and evolved with market needs, staying a step ahead of changing media-scapes. From being TQM compliant to pioneering the concept of integrated communications, with vertical specializations that work together to give a brand a planned synchronized voice across all media, to today being among the last Indian privately-held advertising agencies.

MAA Academy: Origin & Inspiration 

Embracing change has always been part of our DNA at MAA. As the advertising and marketing landscape continues to evolve, so do we. From our roots in brand building to our embrace of digital strategies, we’ve consistently stayed ahead of the curve.

Today, as businesses seek professionals who can navigate not only marketing but also emerging technologies like AI & ML, we’re expanding our mission. MAA Academy is transitioning from solely building brands to nurturing careers through upskilling initiatives that encompass a wide range of in-demand industry skills.

With a team of top-tier experts spanning marketing, AI, ML, and beyond, MAA Academy is committed to empowering individuals to thrive in the modern workforce. Whether you’re a seasoned professional looking to adapt or someone new to the industry, we’re here to support your journey toward success. 

Our Mission

At MAA Academy, our mission is simple: to provide accessible training in all in-demand industry skills. From marketing and communications to AI & ML and beyond, we offer relevant, practical education to help individuals build successful careers in today’s dynamic job market. Join us as we empower you for the future. 

Our Vision

Creating  a  job ready workforce one learner at a time.

What You Will Learn

Python for Data Science

Statistical Foundations

Machine Learning

Deep Learning

Big Data Analytics

Data Visualization

Course Syllabus:

Semester 1: Introduction to Programming and AI Basics
  • Introduction to Programming using Python
  • Mathematics for AI – Basics of linear algebra, probability, and statistics..
  • Introduction to AI – Fundamental concepts of AI, history, and its applications.
  • Lab on Programming using Python – Practical programming exercises focusing on Python.
  • Lab on AI Tools – Introduction to AI tools like Jupyter Notebooks, Anaconda, etc.
Semester 2: Data Structures and Exploring Data
  • Data Structures in Python – Focus on data structures used in data analysis and AI.
  • Database Systems – SQL and NoSQL databases, focusing on data retrieval and storage for AI applications.
  • Statistics for AI – Advanced statistical methods that underpin machine learning algorithms.
  • Lab on Data Structures in Python – Practical implementations of AI-centric data structures.
  • Lab on Data Analytics – Introduction to using Python libraries like pandas and NumPy for data analysis.
Semester 3: Foundations of Machine Learning
  • Machine Learning Fundamentals – Introduction to machine learning concepts, supervised and unsupervised learning.
  • Probabilistic Models and Inference – Bayesian thinking, probabilistic models and their applications in AI.
  • Programming for AI – Advanced Python programming, focusing on machine learning library scikit-learn.
  • Lab on Machine Learning – Practical projects using machine learning algorithms.
  • Lab on Probabilistic Models – Simulations and implementations of probabilistic models.
Semester 4: Advanced Machine Learning and Initial Specializations
  • Deep Learning Fundamentals – Neural networks, backpropagation, and architectures like CNNs and RNNs.
  • Natural Language Processing – Basics of NLP, text processing, and sentiment analysis.
  • Computer Vision
  • Robotics in AI
  • Reinforcement Learning
  • Lab on Deep Learning – Implementing deep learning models using TensorFlow or PyTorch.
  • Lab on NLP – Practical NLP applications, utilizing libraries like NLTK or spaCy
Semester 5: Real-World AI Applications
  • Advanced Topics in AI – Latest trends and advancements in AI research and industry applications.
  • AI Ethics and Society – Ethical considerations, biases in AI, and AI’s impact on society.
  • Intro to Generative AI and LLMs
  • Advanced Computer Vision
  • Advanced Robotics
  • Advanced Topics in NLP
  • Lab on AI Applications – Real-world AI projects.
  • Internship/Vocational Training – Hands-on industry experience in AI/ML.
Semester 6: Capstone AI Projects
  • AI Project Design and Management – How to design, manage, and deliver AI projects.
  • AI Ethics
  • AI in Healthcare
  • AI in Finance
  • AI for Autonomous Vehicles
  • Capstone Project – Comprehensive project that showcases the AI/ML skills acquired.
  • Lab on Industry-specific AI Applications – Practical implementation in a chosen industry.
  • Professional Communication and Project Presentation – Focus on communication skills tailored for AI/ML professionals.

Get Hands-On With AI Tools & Solutions

Hiring Partners

Career Opportunities

There is a growing need for qualified computer engineers and a BCA can help you create a multi-faceted career in the industry.

If you hold a BCA degree you can be employed in these sectors: healthcare, IT, finance, trading, transportation, software, and education.

Data Scientist

AI Entrepreneur

Machine Learning Engineer

AI Instructor or Trainer

Robotics Engineer

AI Engineer

AI Ethicis

Data Scientist

AI Product Manager

Software Developer

AI Consultant

Data Scientist

AI Research Scientist

⁠Database Administrator

⁠Data Engineer

Web Developer

System Analyst

IT Consultant

Fast-Forward Your Career With BCA in MI & ML

A Career Essential Soft Skills Program

Just-in-Time Interviews

AI Powered Profile Builder

Receive Personalized Career Mentorship Sessions

Access to Exclusive Job Opportunities Portal

High Performance Coaching


Admission OPEN AY 2024-25

Srinivas University – Bengaluru Campus
No 821 & 822, 80 Ft Road, 8th Block, OPP to Koramangala Indoor Stadium, Koramangala, Bengaluru, Karnataka 560095

9AM – 6PM
Call : +91 8549018511,

Get In Touch

MAA Academy
MAA House, 6, Service Road, 1st Stage, Domlur, Bengaluru, Karnataka 560071

Ph: +91 9019708547

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