B.Sc. Artificial Intelligence and Machine Learning (AI & ML)

About the Course
The Bachelor of Science in Artificial Intelligence and Machine Learning (B.Sc (AI & ML)) program is designed to provide advanced education and training in the field of AI and ML. Driven by the combination of increased access to data, computational power, and improved algorithms, Artificial Intelligence (AI) technologies are entering the mainstream of technological innovation. This course will also introduce the field of Machine Learning, in particular focusing on the core concepts of supervised, unsupervised learning and reinforcement learning. Students will learn the algorithms which underpin many popular Machine Learning techniques, as well as developing an understanding of the theoretical relationships between these algorithms.

Course Overview

University Affiliation
Savitribai Phule Pune University (SPPU)

Eligibility
Passed Standard XII (10+2) or equivalent examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/ Technical Vocational subject/ Computer Science/ Information Technology/ Informatics Practices/ Agriculture/ Engineering Graphics/ Business Studies from any recognized Board with a minimum of 50% marks or equivalent grade (45% marks or equivalent grade for Scheduled Caste/ Scheduled Tribes).

Course Level / Duration / System
Undergraduate / Three or Four years/6 or 8 Semesters with multiple entry and exit.
The following option will be made available to the students joining BSc (AI & ML) Research Program:
a) One year: Under Graduate Certificate in Artificial Intelligence and Machine Learning
b)Two years: Under Graduate Diploma in Artificial Intelligence and Machine Learning
c)Three years: Bachelor of Science in Artificial Intelligence and Machine Learning (BSc (AI & ML))
d)Four years: BSc AI & ML (Honours) and BSc AI & ML (Honours with Research)

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Call Us
+91 83789 98126 / +91 89569 32420
Specialization Offered
- Bachelor of Hotel Management (BHM)
- Bachelor of Hotel Management and Catering Technology (BHMCT)
- Bachelor of Hotel Management (BHM)
- Bachelor of Tourism and Travel Management
- Bachelor of Hotel Management (BHM)
- Bachelor of Hotel Management and Catering Technology (BHMCT)
- Bachelor of Hotel Management (BHM)
- Bachelor of Tourism and Travel Management
- Bachelor of Hotel Management (BHM)
- Bachelor of Hotel Management and Catering Technology (BHMCT)
- Bachelor of Hotel Management (BHM)
- Bachelor of Tourism and Travel Management
Course Curriculum
Course Type | Course Code | Course Title | Credits |
---|---|---|---|
Subject 1 | AIML-101-T | Object Oriented Concepts and Programming using C++ | 2 |
AIML-102-P | Practical based on AIML-101-T | 2 | |
Subject 2 | MTS-101-T | Discrete Structures for Computer Science | 2 |
MTS-102-P | Practical based on MTS-101-T | 2 | |
Subject 3 | STS-101-T | Notion of Statistical Data Analysis | 2 |
STS-102-P | Practical based on STS-101-T | 2 | |
GE / OE | OE-101-AIML-T | From University Basket* | 2 |
SEC | SEC-101-AIML-T | Basic Probability Theory and Discrete Distributions | 2 |
IKS | AIML-101-IKS | Generic IKS | 2 |
AEC | AEC-101-ENG | English | 2 |
VEC | VEC-101-ENV | EVS-I | 2 |
Total | 22 |
Course Type | Course Code | Course Title | Credits |
---|---|---|---|
Subject 1 | AIML-151-T | Introduction to Python Programming | 2 |
AIML-152-P | Practical based on AIML-151-T | 2 | |
Subject 2 | MTS-151-T | Graph Theory | 2 |
MTS-152-P | Practical based on MTS-151-T | 2 | |
Subject 3 | STS-151-T | Continuous Probability Distributions and Testing of Hypothesis | 2 |
STS-152-P | Practical based on STS-151-T | 2 | |
GE / OE | OE-151-AIML-T | From University Basket* | 2 |
SEC | SEC-151-AIML-T | Databases – I | 2 |
AEC | AEC-151-ENG | English | 2 |
VEC | VEC-151-ENV | EVS-II | 2 |
CC | CC-151-PE / NSS / NCC | From University Basket | 2 |
Total | 22 |
Course Type | Course Code | Course Title | Credits |
---|---|---|---|
Major Core | AIML-201-MJ-T | Data Structures (using Python) | 4 |
AIML-202-MJ-T | Software Engineering | 2 | |
AIML-203MJ-P | Lab course on AIML201MJ + AIML202MJ | ||
VSC | AIML-221-VSC-P | Advanced Python Programming | 2 |
IKS | AIML-201-IKS | Computing in Ancient India | 2 |
FP / OJT / CEP | AIML-231-FP | Mini Project | 2 |
Minor | AIML-241-MN-T | Linear Algebra | 2 |
AIML-242-MN-P | Practical on AIML241MN | 2 | |
GE / OE | OE-201-AIML-T | From University Basket | 2 |
AEC | AEC-201-ENG | From University Basket | 2 |
CC | CC-201-PE / NSS / NCC | From University Basket | 2 |
Total | 22 |
Course Type | Course Code | Course Title | Credits |
---|---|---|---|
Major Core | AIML-251-MJ-T | Microservices using Python | 2 |
AIML-252-MJ-T | Artificial Intelligence - I | 2 | |
AIML-253-MJ-P | Practical based on AIML251MJ + AIML252MJ | ||
VSC | AIML-221-VSC-P | Databases – II | 2 |
CEP | AIML-241-FP | Mini Project | 2 |
Minor | AIML-241-MN-T | Logic | 2 |
AIML-242-MN-P | Practical based on AIML241MN | 2 | |
GE/OE | OE-251-AIML-T | From University Basket* | 2 |
SEC | SEC-251-AIML-P | DAA - I (Brute Force, D&C, Greedy, Dynamic Programming) | 2 |
AEC | AEC-251-SUB | From University Basket | 2 |
CC | CC251PE / NSS / NCC | From University Basket | 2 |
Total | 22 |
Course Type | Course Code | Course Title | Credits |
---|---|---|---|
Major Core | AIML-301-MJ-T | Artificial Intelligence - II | 2 |
AIML-302-MJ-T | Machine Learning Techniques – I (Supervised) | 2 | |
AIML-303-MJ-T | Data Preparation and Visualization | 2 | |
AIML-304-MJ-T | DAA - II (Backtracking, B&B, Randomized, P&NP and approximation algos) | 2 | |
AIML-305-MJ-P | Practical based on AIML301MJ | 2 | |
AIML-306-MJ-P | Practical based on AIML302MJ & AIML303MJ | ||
Minor Elective | AIML-310-MJ-T | Big Data Analytics | 2 |
AIML-311-MJ-P | Practical based on AIML306MJ | 2 | |
OR | |||
AIML-312-MJ-T | MEAN – I | 2 | |
AIML-313-MJ-P | Practical based on AIML308MJ | 2 | |
OR | |||
AIML-314-MJ | Mobile App Development | 2 | |
AIML-315-MJ-P | Practical based on AIML310MJ | 2 | |
VSC | AIML-321-VSC-P | Linux Shell Scripting | 2 |
FP/CEP | AIML-331-FP | Project | 2 |
Minor | AIML-341-MN-T | Calculus for ML | 2 |
Total | 22 |
Course Type | Course Code | Course Title | Credits |
---|---|---|---|
Major Core | AIML-351-MJ-T | Optimization Techniques | 2 |
AIML-352-MJ-T | Machine Learning Techniques – II | 2 | |
AIML-353-MJ-T | Data Mining Techniques | 2 | |
AIML-354-MJ-T | Evolutionary Algorithms (FL, GA) | 2 | |
AIML-355-MJ-P | Practical based on AIML351MJ | 2 | |
AIML-356-MJ-P | Practical based on AIML352MJ & AIML353MJ | ||
Minor Elective | AIML-360-MJ-T | Business Intelligence (Atoti) | 2 |
AIML-361-MJ-P | Practical based on AIML357MJ | 2 | |
OR | |||
AIML-362-MJ-T | MEAN II | 2 | |
AIML-363-MJ-P | Practical based on AIML359MJ | 2 | |
OR | |||
AIML-364-MJ-T | Game Theory | 2 | |
AIML-365-MJ-P | Practical based on AIML361MJ | 2 | |
VSC | AIML-371-VSC-P | Database Technologies (Unstructured Databases) | 2 |
OJT | AIML-381-OJT | On Job Training | 4 |
Total | 22 |

Student Testimonials




FAQ's
- Cyber security is the practice of protecting computer systems and networks from cyber attacks like unauthorized access, use, disclosure, disruption, modification, or destruction.
- It involves implementing security measures to safeguard data, infrastructure, and applications from cyber attacks.
A cyber security course aims to equip individuals with the knowledge and skills to protect digital systems and data from cyber threats, covering topics like network security, ethical hacking, and risk management.
- Cybersecurity is the practice of protecting computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction.
- It involves implementing various security measures to safeguard data, infrastructure, and applications from cyber threats
- Growing Need: With increasing reliance on digital technologies, cybersecurity professionals are in high demand.
- Protecting Data: Cyber threats like malware, phishing attacks, and ransomware pose significant risks to individuals and organizations
- Candidate should have passed 12th std from science stream with English as passing subject and has secured 45% marks in 12th
- Three years diploma course after 10th of Board of Technical Education conducted by Government of Maharashtra or its equivalent.
- Higher secondary school certificate (10+2) science exam with English and vocational subject of +2 level (MCVC).
As per NEP in 4 Years with Honors degree and graduation degree 3 years.
As NEP changed the education structure to match up with US/UK credit pattern, so that you can pursue the education in the foreign countries as it is based on credit pattern.
BSc Cyber and Digital Science:
Broader Scope:
This degree covers a wider range of topics related to digital technologies, including cybersecurity, digital forensics, cryptography, network security, and data privacy.
Focus:
It aims to provide a comprehensive understanding of the digital landscape, equipping students with skills to protect digital assets and investigate cybercrimes.
Curriculum:
Covers computer science fundamentals, programming, data analysis, and information security, preparing graduates for various roles in the digital world.
Career Paths:
Graduates can pursue careers in cybersecurity, digital forensics, data analysis, and other digital-related fields.
BSc Cybersecurity:
Specialized Focus:
This degree concentrates specifically on cybersecurity, focusing on protecting digital systems, networks, and data from unauthorized access and cyber threats.
Curriculum:
Emphasizes cybersecurity principles, technologies, and practices, including network security, ethical hacking, digital forensics, and cryptography.
Career Paths:
Graduates are prepared for roles such as cybersecurity analyst, network security engineer, penetration tester, and incident responder.
- Lead and Internal Auditor for information security management systems in surveillance agencies
- Assistantship with cyber lawyers and advocates
- Network Engineer
- Information security analyst
- Ethical hacker job roles
- Cloud security architect
- Chief information security officer
Yes we will assist 100% support from our placement cell.
From 3 lakhs to 12 lakhs.
M.Sc. Cyber Security, Diploma in Cyber security law, MBA, M. Sc. CA, M.Sc. DS.
2 Batches.
USP for SIICS
- The first Institute in Pune to offer course in the specialized filed of Cyber Security & Digital Science since 2020.
- The Institute has state of art infrastructure.
- The institute has well-equipped gym, basket ball court.
- The campus is designed to provide the cyber learning infrastructure in terms of classrooms, seminar halls, tutorial rooms. Library, computer labs etc.
Request course information by
submitting your enquiry
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