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Bachelor Of Computer Application (BCA) - ARTIFICIAL INTELLIGENCE
Program details
The UPES School of Computer Science offers a groundbreaking Bachelor of Computer Application (BCA) program with a specialization in Artificial Intelligence (AI). This program stands as a pioneering endeavor in India, meticulously curated by renowned academicians and industry experts. Right from the program's inception, students are exposed to real-world AI applications, fostering a practical comprehension of the subject matter. A distinctive feature of the curriculum is its emphasis on establishing a robust foundation in probability and applied statistics. This facet empowers students to not only grasp AI concepts through their practical implementations but also delve into theoretical underpinnings and model optimization methodologies. The program structure encompasses four projects, comprising both minor and major projects. During the major project phases, students actively engage with authentic industry problems, guided by seasoned mentors to formulate and implement optimized solutions.
A pivotal aspect of the program is the mandatory three-month industry internship. This experiential opportunity offers students invaluable firsthand experience in addressing authentic challenges, frequently culminating in pre-placement offers. Additionally, the program orchestrates active participation in impactful research endeavors of national and international significance, providing students avenues to contribute meaningfully to the field.
The Bachelor's degree program in Computer Application specialized in AI at UPES is distinguished for its all-encompassing and immersive educational journey. Through the fusion of theoretical foundations, hands-on applications, industrial internships, and research prospects, the program furnishes students with the essential proficiencies to excel within the realm of AI. By instilling practical skills, theoretical insights, and an exposure to industry dynamics, this program empowers students to thrive as adept AI professionals.
Program Highlights
- Developed in collaboration with industry leaders, the program emphasizes practical AI applications, ensuring graduates are equipped with industry-relevant skills.
- Students establish a robust groundwork in statistics, discrete mathematics, and probability, essential for understanding advanced AI concepts.
- Through real-world projects and research involvement, students gain practical experience, fostering a comprehensive understanding of AI principles.
- Specialized subjects like Neural Networks and Natural Language Processing provide in-depth knowledge, allowing students to explore advanced AI techniques.
- The Bachelor of Computer Application (BCA) in Artificial Intelligence program highlights the application of AI across industries, preparing graduates to address real-world challenges using AI solutions.
- Equipped with practical skills and in-depth knowledge, graduates are well-prepared to excel in the ever-evolving field of Artificial Intelligence.
Future Scope / Industry Trends
The UPES School of Computer Science's Bachelor of Computer Application (BCA) program specializing in Artificial Intelligence (AI) offers students a strong foundation in a field with vast potential. As AI continues to revolutionize industries like healthcare, finance, manufacturing, and more, graduates are poised for success. The program equips students to become AI engineers, data scientists, machine learning specialists, consultants, researchers, and project managers, meeting the high demand for skilled AI professionals. The ever-evolving nature of AI, including trends like ethical AI and natural language processing, highlights the need for ongoing learning. Overall, this BCA program primes graduates for promising careers in the rapidly expanding AI landscape, ensuring a rewarding and progressive journey in this dynamic field.
Career Opportunities
Upon completing the Bachelor of Computer Application (BCA) program with a specialization in Artificial Intelligence from UPES School of Computer Science, graduates are poised for an array of compelling career prospects spanning diverse sectors. The program equips them for roles such as AI Engineers, who develop cutting-edge solutions; Data Scientists, unraveling insights from vast datasets; and Machine Learning Specialists, creating advanced algorithms. Graduates can also venture into AI Consulting, guiding businesses on technology integration; assume positions as Research Scientists, contributing to innovation; or become AI Project Managers, overseeing implementation. Furthermore, the program instills a critical understanding of AI ethics, paving the way for AI Ethics Specialists who navigate complex ethical considerations. Moreover, emerging fields like Robotics Engineering and Data Analysis offer additional avenues for specialization, rounding off a comprehensive spectrum of opportunities for BCA graduates.
Placements
The UPES School of Computer Science's Bachelor of Computer Application (BCA) program with a specialization in Artificial Intelligence stands out for its commendable placements. The program boasts an impressive average salary of 4.35 LPA, with the highest salary reaching 7.5 LPA, reflecting the quality of education and training imparted. The roster of companies that participate in the placement drive is diverse and prestigious, including names like Advanced Network Management, Expand my Business, Hike education, Instant Procurement Services Private Limited (ProcMart), LTIMindtree, Posist Technologies, Academor, Leadsquared, and LEARNING ROUTES PVT LTD. This comprehensive list underscores the program's ability to foster partnerships with industry leaders, resulting in excellent opportunities for students to launch their careers with confidence in the dynamic field of Artificial Intelligence.
Fee Structure
Click here for detailed Fee Structure.
Curriculum
Semester 1
Course | L | T | P | Credit |
---|---|---|---|---|
Linux Lab | 0 | 0 | 4 | 2 |
Programming in C | 3 | 0 | 0 | 3 |
Programming in C Lab | 0 | 0 | 4 | 2 |
Web Technologies | 3 | 0 | 0 | 3 |
Web Technologies Lab | 0 | 0 | 2 | 1 |
Problem Solving | 2 | 0 | 0 | 2 |
Living Conversation | 2 | 0 | 0 | 2 |
Basic Mathematics I | 4 | 1 | 0 | 4 |
Environmental Sustainability and Climate Change - I | 2 | 0 | 0 | 2 |
TOTAL | 21 |
Semester 2
Course | L | T | P | Credit |
---|---|---|---|---|
Data Structures and algorithms | 4 | 0 | 0 | 4 |
Data Structures and algorithms Lab | 0 | 0 | 2 | 1 |
Databases | 3 | 0 | 0 | 3 |
Databases Lab | 0 | 0 | 2 | 1 |
Python programming | 2 | 0 | 0 | 2 |
Python programming Lab | 0 | 0 | 4 | 2 |
Critical Thinking and Writing | 2 | 0 | 0 | 2 |
Basic Mathematics II | 4 | 0 | 0 | 4 |
Environmental Sustainability and Climate Change - II | 2 | 0 | 0 | 2 |
TOTAL | 21 |
Semester 3
Course | L | T | P | Credit |
---|---|---|---|---|
Advanced Databases | 3 | 0 | 0 | 3 |
Advanced Databases Lab | 0 | 0 | 2 | 1 |
Advanced Web Technologies | 3 | 0 | 0 | 3 |
Advanced Web Technologies Lab | 0 | 0 | 2 | 1 |
Elements of AIML | 2 | 0 | 0 | 2 |
Elements of AIML Lab | 0 | 0 | 2 | 1 |
Exploratory-1 | 0 | 0 | 0 | 3 |
Design Thinking | 1 | 1 | 0 | 2 |
Applied Statistics and Probability | 3 | 0 | 0 | 3 |
TOTAL | 20 |
Semester 4
Course | L | T | P | Credit |
---|---|---|---|---|
Data communication and Networks | 3 | 0 | 0 | 3 |
Object Oriented Programming | 3 | 0 | 0 | 3 |
Object Oriented Programming Lab | 2 | 1 | ||
Operating Systems | 3 | 0 | 0 | 3 |
Software Engineering | 3 | 0 | 0 | 3 |
Exploratory-2 | 3 | 0 | 0 | 3 |
PE-1 | 4 | 0 | 0 | 4 |
PE-1 Lab | 0 | 0 | 2 | 1 |
TOTAL | 20 |
Semester 5
Course | L | T | P | Credit |
---|---|---|---|---|
Mobile Application Development | 3 | 0 | 0 | 3 |
Mobile Application Development Lab | 0 | 0 | 2 | 1 |
Exploratory-3 | 3 | 0 | 0 | 3 |
Start your startup | 2 | 0 | 0 | 2 |
PE-2 | 4 | 0 | 0 | 4 |
PE-2 Lab | 0 | 0 | 2 | 1 |
Project-1 | 0 | 0 | 0 | 5 |
Summer Internship | 0 | 0 | 0 | 1 |
TOTAL | 20 |
Semester 6
Course | L | T | P | Credit |
---|---|---|---|---|
Cyber Security | 3 | 0 | 0 | 3 |
Exploratory-4 | 3 | 0 | 0 | 3 |
Leadership and Teamwork | 2 | 0 | 0 | 2 |
PE-3 | 4 | 0 | 0 | 4 |
PE-3 Lab | 0 | 0 | 2 | 1 |
Project-2 | 0 | 0 | 0 | 8 |
TOTAL | 21 |
Semester 7
Course | L | T | P | Credit |
---|---|---|---|---|
DevOps | 3 | 0 | 0 | 3 |
Exploratory-5 | 3 | 0 | 0 | 3 |
PE-4 | 4 | 0 | 0 | 4 |
PE-4 Lab | 0 | 0 | 2 | 1 |
PE-5 | 3 | 0 | 0 | 3 |
PE-5 Lab | 0 | 0 | 2 | 1 |
Project-3 | 0 | 0 | 0 | 8 |
TOTAL | 23 |
Semester 8
Course | L | T | P | Credit |
---|---|---|---|---|
Industry 4.0 | 4 | 0 | 0 | 4 |
Project-4 | 0 | 0 | 0 | 10 |
Seminar | 0 | 0 | 0 | 2 |
TOTAL | 16 |
Program Elective 24 Credits
Course | L | T | P | Credit |
---|---|---|---|---|
Applied Machine Learning | 4 | 0 | 0 | 4 |
Applied Machine Learning Lab | 0 | 0 | 2 | 1 |
Deep Learning | 4 | 0 | 0 | 4 |
Deep Learning Lab | 0 | 0 | 2 | 1 |
Pattern and Visual Recognition | 4 | 0 | 0 | 4 |
Pattern and Visual Recognition Lab | 0 | 0 | 2 | 1 |
Computational Linguistics and Natural Language Processing | 4 | 0 | 0 | 4 |
Computational Linguistics and Natural Language Processing Lab | 0 | 0 | 2 | 1 |
Algorithm for Intelligent Systems and Robotics | 3 | 0 | 0 | 3 |
Algorithm for Intelligent Systems and Robotics Lab | 0 | 0 | 2 | 1 |
TOTAL | 24 |
Eligibility
Interested students must meet the following minimum eligibility criteria in order to apply for the Bachelor of Computer Application (BCA) program in Artificial Intelligence: 50% marks in class X and XII with Mathematics / Computer Science / Information Technology as one of the major Subject in Class XII.
Selection Criteria
Selection for students who are interested in enrolling in the Bachelor of Computer Application (BCA) program with a focus on Artificial Intelligence, provided by UPES School of Computer Science, relies on the individual's performance in Personal Interview.
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