B.Sc - Computer Science (Artificial Intelligence and Machine Learning)
Overview
The B.Sc. Computer Science program specializing in Artificial Intelligence & Machine Learning at UPES School of Computer Science offers a comprehensive curriculum that delves deep into the mathematical foundations of Artificial Intelligence (AI) and machine learning (ML) along with related technologies. The program is meticulously designed to equip students with a strong understanding of the theoretical underpinnings and practical applications of AI and ML. Throughout the program, students will engage with diverse facets of AI and ML, gaining expertise in various tools and platforms essential for modern AI/ML development. Notably, students will work with industry-standard frameworks like TensorFlow, Keras, PyTorch, and NoSQL databases, which are crucial for crafting cutting-edge AI/ML solutions. The curriculum emphasizes hands-on experience, ensuring that students can confidently apply their knowledge to real-world technological scenarios.
A distinguishing feature of this program is its focus on statistics and mathematical simulations. By delving into these domains, students will acquire the skills necessary for accurate data analysis, model creation, and result interpretation. This statistical proficiency empowers graduates to meet the burgeoning demand for AI-enabled professionals in the market. With a strong foundation in both theory and practice, graduates of this program will be well-prepared to embark on successful careers in industries that heavily rely on AI and ML technologies.
Some Highlights of B.Sc Computer Science (Artificial Intelligence and Machine Learning):
| Name Of The Course | B.Sc Computer Science (Artificial Intelligence and Machine Learning) |
| Full Form | Bachelor of Science in Computer Science (Artificial Intelligence and Machine Learning) |
| Level | Undergraduate |
| Duration | 3 Years |
| Examination Type | Semester System |
| Eligibility | Minimum 50% in 12th Board Exams |
| Admission Process | Entrance/Merit Based, Direct |
| Average Course Fees | ₹ 40 K To ₹ 2.5 L |
| Average Annual Salary | ₹ 4.0 LPA To ₹ 5.0 LPA |
| Job Profiles/Roles | AI and ML Developer,Python Program Developer,Program Developer,Neural Networks Developer |
| Top Recruiters | IBM, Amazon, Microsoft, Accenture, Facebook, Nvidia, Wipro, Apple, Cognizant |
Top Colleges offering B.Sc - Computer Science (Artificial Intelligence and Machine Learning) in India
Kongunadu Arts and Science College, Coimbatore
Silver Oak University, Ahmedabad
Silver Oak University, Ahmedabad
Thapar Institute of Engineering and Technology
Parul University, Vadodara
SVKM’s Narsee Monjee Institute of Management Studies (NMIMS)
Cochin University of Science and Technology (CUSAT)
Academy of Maritime Education and Training University (AMET)
SR University (SRU)
Why B.Sc - Computer Science (Artificial Intelligence and Machine Learning)
The future scope of the B.Sc. Computer Science in Artificial Intelligence & Machine Learning program at UPES School of Computer Science is exceptionally promising. As AI and Machine Learning continue to revolutionize industries across the globe, graduates from this program will be equipped with a robust foundation in computer science coupled with specialized knowledge in cutting-edge technologies.
This will enable them to design intelligent systems, develop predictive models, and drive innovation in fields like healthcare, finance, manufacturing, and beyond. The program's comprehensive curriculum, hands-on projects, and exposure to real-world challenges will nurture analytical thinking, problem-solving skills, and creativity among students. Moreover, UPES's emphasis on industry collaboration, internships, and practical training ensures that graduates are not only academically proficient but also job-ready.
As industries increasingly seek AI and Machine Learning expertise, graduates from this program will be well-positioned to secure roles as AI engineers, data scientists, machine learning specialists, and research scientists, contributing significantly to the ever-evolving landscape of technology and its applications.
B.Sc - Computer Science (Artificial Intelligence and Machine Learning) Admission Procedure :
The students who wish to apply for B.Sc Computer Science with Artificial Intelligence and Machine Learning course under NRI/Management Quota at Akash Global College of Management and Science should apply through the following procedures:
Students can click Apply Now for the Application Form
Students should correctly fill all the details mentioned in the application form.
Submit the Application Form
The shortlisted students will be invited for the selection process.
Eligibility
Interested students must meet the following minimum eligibility criteria to enroll in the B.Sc. Computer Science program with a specialization in Artificial Intelligence & Machine Learning: 50% marks in class X and XII with Mathematics / Computer Science / Information Technology as one of the major Subject in Class XII.
B.Sc - Computer Science (Artificial Intelligence and Machine Learning) Career Opportunities:
Some of the important organisations hiring B.Sc Computer Science with Artificial Intelligence and Machine Learning students are:
Infosys
Tata Consultancy Services (TCS)
Mindtree
Capgemini
Bosch
Google
Meta
B.Sc - Computer Science (Artificial Intelligence and Machine Learning) Syllabus :
Semester 1
Artificial Intelligence
Fundamentals of Computer and Programming in C
Introduction to IoT
Open Elective I
Introduction to Computers & Technology
Introduction to Entrepreneurship Development
Communicative English-1
Ethics and Social Implications of AI
Semester 2
Data Structures Using C
Probability and Statistics
Open Elective II
Web Analytics
Mobile Application Development
Technical Writing and Communication
Communicative English -2
Environmental Studies
Semester 3
Machine Learning
Principles of Data Base Management System
Object Oriented Programming Using Java
Open Elective III
Introduction to Blockchain Technology
Cyber Analytics
Software Engineering and Quality Assurance
Logical Skills Building and Soft Skills
Semester 4
Deep Learning
Operating System and Unix Shell Programming
Application based Programming in Python
Open Elective-IV
Data Warehousing and Data Mining
Social Media Analytics
Quantitative and Qualitative Aptitude Skill Building
Practical/Viva-Voce/Jury
Operating System and Unix Shell Programming -Lab
Application based Programming in Python -Lab
Research Based Learning-2
Semester 5
Introduction to R
Computer Networks and Data Communication
Natural Language Processing
Research Methodology
Semester 6
Artificial Neural Networks
Computer Vision
Predictive Analytics
Open Elective -V
Information Security and Cyber Laws
Big Data Analytics