Industry-endorsed Curriculum
Dynamic Learning Methods
Full-time, Experienced Faculty Members
Masterclasses by Industry Stalwarts
Case Studies, Gamification and Simulations
In the first year, students build a solid grounding in business fundamentals, digital tools, sustainability, and logical reasoning, with a curriculum designed to ease non-technical learners into AI and technology concepts. Courses cover management, marketing, communication, emerging technologies, and basic analytics. Bridge courses in mathematics and reasoning support learners from all academic backgrounds, while electives and sustainability studies foster well-rounded development. By the end of the year, students are equipped to engage with low-code AI tools and ready to progress into deeper technological integration.
The second year transitions students from foundational knowledge to hands-on application of AI and digital technologies in business contexts. Courses in AI, machine learning, cybersecurity, cloud computing, Python/R programming, and SQL are complemented by sector-specific concentration tracks in HealthTech, AgriTech, or GreenTech. Leadership, innovation management, and social internships reinforce industry and societal relevance. This year marks the beginning of students’ specialization, preparing them to solve real-world business problems using AI-driven approaches.
In the third year, students gain advanced expertise in emerging technologies and their practical business applications. With subjects like robotics, AR/VR, quantum computing, big data, NLP, and blockchain, the curriculum sharpens their ability to innovate in tech-driven domains. Capstone Project I and a technical internship provide immersive industry experience, while courses in AI-driven marketing and UI/UX design bridge the gap between technology and customer-centric business strategies. This year establishes full proficiency in integrating advanced tools and technologies into business operations.
The final year focuses on specialization, research, and professional readiness. Students undertake advanced coursework in explainable AI (XAI), no-code/low-code system design, Edge AI, and AI governance. With Capstone Project II and the Emerging Technologies Portfolio, learners apply their knowledge in high-impact research or industry collaborations. Career preparation, advanced visualization skills, and design thinking are embedded to ensure graduates are ready to lead in AI product management, policy, or entrepreneurial ventures. This year culminates in mastery of applied AI and emerging technologies, aligned with both industry and academic progression paths.

Educational qualification
Indian School Certificate (ISC) / Central Board of Secondary Education (CBSE) / State Boards: 50% and above.
International Baccalaureate
-> IB Diploma and IB Certificate programs – A minimum of 24 points, including 3 Higher Level (HL) and 3 Standard Level (SL) subjects.
-> IB Career related program – https://www.ibo.org/globalassets/new-structure/research/pdfs/country-recognition-statement-india-en.pdf
A Levels: A/B/C in 2 subjects
Online Aptitude Test
The Online Aptitude Test, is a comprehensive test designed to assess the skills of aspiring candidates seeking admission to the program. The exam consists of five distinct sections: Quantitative Reasoning, Verbal Reasoning, Logical Reasoning, Business Communication and Speaking & Writing Skills, which together carry a total weightage of 80% in the entrance exam evaluation.

Stage 2
Personal Interview
The interview plays a crucial role in the selection process, carrying a weightage of 20% alongside the online aptitude test. This interview provides an opportunity for candidates to showcase their personal qualities, communication skills, and passion. It allows the selection panel to assess the candidate’s ability to articulate ideas clearly, demonstrate problem-solving capabilities, and exhibit a genuine interest in the subject.

Stage 1 – Online Aptitude Test
The Online Aptitude Test, is a comprehensive online aptitude test designed to assess the skills of aspiring candidates seeking admission to the B.Sc. Finance program. The exam consists of three distinct sections: Quantitative, Verbal, and Logical, which together carry a total weightage of 80% in the entrance exam evaluation.
Sr.No. | Particular | Overall Weightage | Section | No.of Questions | Marks | Total Time | Mode |
---|---|---|---|---|---|---|---|
1 | Online Aptitude Test | 80% | English | 15 | 15 | 100 mins | Online |
Business Communication | 11 | 11 | |||||
Logical Reasoning | 9 | 9 | |||||
Quantitative | 15 | 15 | |||||
Speaking | 1 | 10 | |||||
Writing | 1 | 10 | |||||
Total | 52 | 70 | |||||
2 | Personal Interview | 20% | – | – | 60 | 15 – 20 mins | Online On Zoom Platform |
Open
Online Aptitude Test
Announcement
Deadline
Payment Deadline
Fee Structure
Program | Total Duration | Enrolment Fee | Year 1 | Year 2 | Year 3 | Year 4 | Total Fee |
B.Sc. Finance | 3 Years | 50,000 | 4,75,000 | 5,00,000 | 5,25,000 | – | 15,50,000 |
B.Sc. Finance (Hons) | 4 Years | 50,000 | 4,75,000 | 5,00,000 | 5,25,000 | 5,50,000 | 21,00,000 |
Program | Total Duration | Enrolment Fee | Year 1 | Year 2 | Year 3 | Year 4 | Total Fee* |
---|---|---|---|---|---|---|---|
BBA in Artificial Intelligence and Emerging Technologies (Hons) | 4 Years | 50,000 | 4,64,000/- | 4,87,200/- | 5,11,560/- | 5,37,138/- | 20,49,898/- |
* Indicative and subject to change
Graduates of the BBA in Artificial Intelligence and Emerging Technologies program at ATLAS SkillTech University will be uniquely positioned at the intersection of business strategy and technological innovation. They can pursue diverse and high-demand roles across industries that are rapidly adopting AI and digital transformation. Here are key graduate destinations:
Business + AI Integration Roles
- • AI Business Analyst
- • Digital Transformation Consultant
- • AI Product Manager
- • Innovation & Strategy Associate
- • Technology Project Manager
- • Automation & Process Optimization Consultant
Data & Analytics Roles
- • Business Intelligence Analyst
- • Data Analyst / Data Consultant
- • Cloud Solutions Associate (AWS, Azure, GCP)
- • Big Data Operations Specialist
- • AI Ethics & Governance Analyst
Emerging Tech & Digital Roles
- • Generative AI Tools Specialist
- • NLP / Chatbot Developer
- • RPA (Robotic Process Automation) Analyst
- • AR/VR/XR Experience Designer
- • UI/UX Designer for AI Interfaces
- • Digital Marketing Analyst (AI-driven)
Sector-Specific Roles
- • HealthTech Product Analyst
- • AgriTech Business Strategist
- • GreenTech Innovation Consultant
- • Public Policy Analyst (Tech & AI)
Entrepreneurship & Startups
- • Tech Startup Founder
- • AI Venture Analyst
- • Digital Business Consultant for SMEs
