B.Sc. (Hons)

Artificial Intelligence

The BSc Artificial Intelligence at ISBF is a globally designed AI degree for students who want to understand how intelligent systems are built, deployed and governed in the real world.

With academic direction from Brunel University London, a leading UK technical university, the programme develops strong foundations in computing, mathematics, machine learning, data science and generative AI. Students graduate prepared to build ethical, scalable and real-world AI solutions across industries.

The programme combines global academic standards with ISBF’s strong analytical and quantitative teaching environment, preparing students for careers in AI engineering, data science, consulting and advanced postgraduate study worldwide.

Students graduate with the ability to design, build and evaluate intelligent systems and translate AI capabilities into real-world impact.

Curriculum structure and specialised learning

Corporate Finance

Computing, Maths & Data Foundations

Students build strong foundations in programming, algorithms, mathematical reasoning, probability and statistics, the core building blocks required to understand how AI systems work from first principles.

Corporate Finance

Artificial Intelligence & Machine Learning

Students study machine learning algorithms, data science workflows and AI modelling techniques to develop intelligent systems capable of learning from data and solving real-world problems.

Corporate Finance

Deep Learning & Generative AI

Students explore neural networks, deep learning architectures and generative AI, gaining hands-on experience in building advanced AI applications used across modern industries.

Corporate Finance

Responsible and Ethical AI

Students examine the ethical, legal and societal impact of AI, including transparency, sustainability, governance and responsible deployment of intelligent systems.

Corporate Finance

Research Methods & AI Capstone Project

Students develop research, experimentation and problem-solving skills, culminating in a final-year Artificial Intelligence Project that showcases real-world AI capability and portfolio-ready work.

Skills that differentiate ISBF Artificial Intelligence graduates

Students graduate with:

Strong Programming and Algorithmic Thinking
Machine Learning and Data Science Expertise
Deep Learning and Generative AI Capability
Research and Experimentation Skills
Ethical and Responsible AI Understanding
Project Management, Teamwork and Communication Skills
They are trained to build intelligent systems from concept to deployment and communicate AI insights to technical and non-technical audiences.

Global relevance and progression

Graduates pursue:

AI Engineering and Machine Learning Roles
Data Science and Analytics Careers
AI Consulting and Strategy Roles
Technology, Finance, Healthcare and Public Sector Opportunities
Postgraduate Study in AI, Data Science, Computer Science and Related Fields
Students benefit from the global recognition of the University of London degree and access to an international alumni network, enabling global career mobility and postgraduate opportunities.

Who should choose this programme

Ideal for students who want:

Careers in Artificial Intelligence, Machine Learning or Data Science
Strong Mathematical and Technical Foundations
Hands-On, Project-Based Learning
Preparation for Global Postgraduate Study
A Globally Recognised Degree Without Leaving India
Frequently Asked Questions

Frequently Asked Questions

While ISBF is the academic facilitator and the students get a degree from the University of London, which is not under UGC's jurisdiction, we encourage all students to enroll for School of Open Learning at Delhi University for those who prioritize UGC recognition. As the LSE courses cover all necessary academic requirements, there is no additional burden on the students. Our dedicated faculty supports students through their exams, enabling them to earn dual degrees from both the University of London and the School of Open Learning.

ISBF boasts a diverse array of clubs and societies including MUN clubs, dance societies, entrepreneurial clubs, and even a billiards club. These activities encourage students to become well-rounded individuals by balancing club participation with their academic responsibilities. Clubs like the entrepreneurship and internship clubs provide a pathway to both academic and co-curricular excellence, preparing students for future challenges.

All ISBF students are registered as University of London students, joining a vast international student body and gaining access to UOL’s extensive learning resources, including its comprehensive Online Library. They receive a globally recognized University of London degree/diploma at the annual London convocation and enjoy lifelong UOL alumni benefits.

For BSc Hons in Economics, Economics and Finance, and Data Science & Business Analytics, students must have studied mathematics up to Class 12. For BSc Hons in Economics & Management, Accounting & Finance, and Business & Management, mathematics up to Class 10 is required.

ISBF is a recognized teaching centre of University of London with all academic directives for the programmes provided by The London School of Economics & Political Science (LSE) or King's College London (KCL).

Prospective students must complete the online application form, pass the ISBF entrance test, and succeed in a personal interview.

Candidates who have achieved a composite SAT score of 1280 or more, CUET with at least a 90th percentile, or IP MAT with at least 85% are exempt from the iMET test.

Yes, ISBF offers a variety of scholarships based on merit, financial need, special provisions for women, and extracurricular achievements, offering up to 50% off on tuition fees.

At ISBF, we believe that excellence in any field enhances potential in all areas. Admissions are offered under the ECA/CCA/Sports Category for LSE undergraduate programs, recognizing and fostering talent across a wide range of activities. Students with valid certifications in their chosen category are exempt from the entrance test and are directly shortlisted for the personal interview.

AI Engineer, Machine Learning Engineer, Data Scientist, AI Consultant and technology roles across industries such as finance, healthcare, consulting and government.

This is a globally designed AI degree with academic direction from Brunel University London and a structured pathway from mathematics and computing to generative AI and real-world deployment.

Yes. The curriculum combines strong theoretical foundations with applied projects and a final-year AI capstone project, ensuring graduates develop real-world AI capability.

Programming, machine learning, deep learning, research methods, ethical AI understanding, data analysis and problem-solving skills.