Program Overview
Atharva University’s Bachelor of Computer Applications (BCA) program at Atharva University is designed to provide students with a solid foundation in computer science and information technology. This comprehensive course blends theory and hands-on practical knowledge, equipping students with the skills required to excel in the fast-evolving world of IT. The curriculum is industry-focused, ensuring that graduates are ready to tackle real-world challenges and thrive in various IT careers.
Duration: 3 Years
Last Date to Apply: To be announced
Eligibility
Candidate should have been passed 12th / XII examination from a recognized Board with 45% marks in Physics, Chemistry Maths (40% in case of reserved Categories)
Selection Process
Valid Score of MH CET / PERA CET or Appear for Atharva University All India Entrance Test and Personal Interview
Program Highlights:
- Programming Languages
- Database Management Systems
- Artificial Intelligence (AI) and Machine Learning (ML)
- Data Science and Big Data
- Cyber Security
- Cloud Computing
- Full-Stack Development
- Web Technologies
- Mobile App Development
- Big Data
- Hands-on Training
- Industry Relevance
- Industry Visits
- Internship Opportunities
- Specialization Options
- Career Opportunities
- Further Studies
Atharva Cutting-Edge Labs
- AI-ML Lab
- Cyber Security Lab
- Networking Lab
- Ethical Hacking Lab
- Blockchain Security Lab
- Generative AI & Innovative Lab
- AR/VR Lab
- Data Science and Visualization Lab
- IoT Lab
Career Support & Industry Connect:
Atharva University offers placement in top companies along with internships in well-known companies where students will have great opportunities to grow their careers.
Industries like: IBM, TCS, Infosys, Wipro, Capgemini, and Accenture.
Program Outcomes:
- Apply principles of Artificial Intelligence and Data Science to design, develop, and deploy intelligent systems and solutions that address complex real-world problems across diverse industries such as healthcare, finance, education, and manufacturing.
- Effectively collect, preprocess, and analyse structured and unstructured data using appropriate statistical and computational tools to extract meaningful insights and support data-driven decision-making.
- Utilize machine learning, deep learning, and neural network techniques to build predictive and prescriptive models, and implement them in solving domain-specific challenges with a focus on accuracy, efficiency, and ethical considerations.
Key Job Roles:
- Marketing Executive / Digital Marketing Analyst
- Business Analyst / Data Analyst
- Financial Analyst / Banking Executive
- HR Executive / Talent Acquisition Specialist
- Operations Coordinator / Supply Chain Analyst
Entrepreneur / Startup Founder - Business Development Executive
- Management Trainee in MNCs
- Product Manager (Entry-Level)
- Client Relationship Manager