Undergraduate Programme
For Men
Duration: 4 Years
This elite interdisciplinary programme combines the analytical power of Artificial Intelligence with the intricate complexity of Computational Biology. By integrating data science, mathematical modelling, and simulation, the programme empowers students to decode biological systems and drive innovation across healthcare, pharmaceuticals, and environmental conservation. This transformative journey is designed for those ready to apply advanced algorithms to the most pressing challenges in the living world.
The academic journey begins with a rigorous foundation in the dual languages of modern science: Mathematics and Programming. From year one, students master calculus alongside Python and the fundamentals of microbiology and cell biology, ensuring proficiency in both the laboratory and the digital environment. As the curriculum progresses, it integrates Statistics and Linear Algebra with biochemistry and genetics, introducing the core principles of AI to bridge the gap between biological observation and computational prediction.
In the later stages, the focus shifts towards high-level application and specialization. Students explore the frontiers of Bioinformatics, Machine Learning, and Molecular Biology, learning to navigate the large datasets that define modern “Multi-Omics” research. A defining feature is the year-long interdisciplinary research project, conducted under joint supervision from the Departments of Biosciences and Computer Science. Through these projects and industry-led electives, students develop real-world solutions for genomic diversity, molecular medicine, and public health epidemiology.
Graduates emerge as versatile innovators, exceptionally well prepared for doctoral research at prestigious institutions or high-impact roles in Bio-Data Science and AI research. By bridging the gap between life sciences and computational intelligence, this programme develops the expertise, critical thinking, and vision required to shape the future of global wellbeing.
B.S. (Hons.) in Artificial Intelligence and Computational Biology
For students who complete a 4-year (8-semester) programme of study.
B.S. (Hons. with Research) in Artificial Intelligence and Computational Biology
For students who secure a CGPA of 7.5 or more after the first six semesters (3 years of study) and opt to pursue research during the fourth year.
Entry & Exit options as per NEP 2020 Policy.
Further Academic Options at SSSIHL
Following their 4-year undergraduate degree, successful graduates have the following options if they choose to continue their studies at SSSIHL:
Ph.D. programme
Direct entry for students who complete a 4-year B.S. (Hons. with Research) in Artificial Intelligence and Computational Biology
M.B.A. programme
For students who complete a 3-year B.Sc. or 4-year B.S. (Hons.) / B.S. (Hons. with Research) in Artificial Intelligence and Computational Biology
- 10+2 years of schooling from a recognized board (CBSE or equivalent)
- Either passed or appeared for Final exams at XII level before Admissions. If not appeared for XII Standard exams, X and XI Standard marks will be considered
- Taken one of the following subject combinations in XI and XII Standard:
– Mathematics, Biology, Physics and Chemistry
– Mathematics, Physics and Chemistry
– Biology, Physics and Chemistry with an equivalent course (XII Standard / Intermediate) in Mathematics (online / distance mode) - Consistent academic performance of 60% aggregate marks in X and/or XII Standard
- Age: Preferably below 19 years as of 30th June in the year of admission
YEAR 1
Semester 1
Mathematics: Differential Calculus
Computer Science: Introduction to Algorithms
Biology: The Dynamic Cell
Biology: Introduction to Laboratory Science (Practical)
Computer Science – Basic Programming in Python
Awareness Course I: Sai Education for Transformation (Based on Bhagawan Baba’s Life and Teachings)
Semester 2
Mathematics: Integral Calculus
Computer Science: Discrete Mathematics
Biology: Microbiology
Biology: Cell and Microbiology (Practical)
Computer Science: Programming, Data Structures and Algorithms Using Python
Awareness Course II: Unity of Religions
YEAR 2
Semester 3
Mathematics: Linear Algebra
Statistics: Introduction to Statistics
Biology: Biochemistry
Biology: Biochemistry (Practical)
Computer Science: Data visualization with R
Awareness Course III: Study of Classics I – Ramakatha Rasavahini
Semester 4
Mathematics: Differential Equations
Design and Analysis of Algorithms in Mathematical Sciences and Computing
Biology: Principles of Genetics
Statistics: Probability Theory and Distributions
Artificial Intelligence: An Introduction to Artificial Intelligence
Awareness Course IV: Study of Classics II – Bhagavatha Vahini
YEAR 3
Semester 5
Biology: Molecular Biology
Biology: Molecular Biology (Practical)
Statistics: Statistical Inference
Computational Biology: Bioinformatics and Computational Biology
Specialization Elective – 1
Computer Science: Cybersecurity
Awareness Course V: Ethos and Values for the Changing World
Semester 6
Computer Science: Database Management Systems
Artificial Intelligence: Artificial Intelligence for Computational Biology – I
Mathematics: Mathematics for Machine Learning
Biology: Epidemiology and Public Health
Specialization Elective – 2
Mini Project
Awareness Course VI: Life and its Quest
YEAR 4
Semester 7
B.S. (Hons.) Courses:
Biology: Multi-OMICS
Artificial Intelligence: Machine Learning and AI
Specialization Elective – 3
Specialization Elective – 4
Specialization Elective – 5
Project / Interim Review
Awareness Course VII: Education for Life
B.S. (Hons. with Research) Courses:
Biology: Multi-OMICS
Artificial Intelligence: Machine Learning and AI
Specialization Elective – 3
Research Methodology
Massive Open Online Course (MOOC)
Research Project / Interim Review
Awareness Course VII: Education for Life
Semester 8
B.S. (Hons.) Courses:
Mathematics: Mathematical Modelling
Specialization Elective – 6
Project
Awareness Course VIII: God, Society and Man
B.S. (Hons. with Research) Courses:
Mathematics: Mathematical Modelling
Research Project
Awareness Course VIII: God, Society and Man
ELECTIVES
Students will be offered a choice of electives spanning the disciplines of Biotechnology, Bioinformatics, Computer Science, Data Science, and Artificial Intelligence. Some of these electives will be industry-oriented and delivered by experts from the relevant industry.
RESEARCH PROJECT
Interdisciplinary project with research supervisors from the Department of Biosciences and Mathematics & Computer Sciences.