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Program details

The Master of Computer Application (MCA) in Artificial Intelligence & Machine Learning at UPES School of Computer Science is a pioneering program that stands out within the academic landscape of India. Developed in collaboration with distinguished educators and industry leaders, the curriculum is a blend of theoretical rigor and practical exposure. From the outset of the program, students are immersed in real-world applications of Artificial Intelligence and Machine Learning, fortified by a solid grounding in probability and applied statistics. This dual approach equips students to not only apply AIML concepts effectively but also to comprehend their underlying principles deeply, fostering a holistic understanding that extends to model optimization.

One of the program's hallmarks is its emphasis on hands-on experience through various industry-centric projects. These projects encompass both minor and major undertakings, with the latter allowing students to tackle real-world challenges while under the mentorship of seasoned experts. A defining feature of the curriculum is the mandatory three-month industry internship, during which students confront authentic problems and cultivate invaluable practical skills. The program's efficacy is underscored by the fact that many students have secured pre-placement offers as a direct result of their internship contributions.

The program's distinction extends to the active participation of faculty members, who engage students in cutting-edge research endeavors. Students are periodically afforded opportunities to contribute to nationally and internationally significant projects, fostering an environment of innovation and collaboration. Additionally, the program fosters an entrepreneurial spirit by providing a platform for students to pursue independent or faculty-supported patent filings. This ecosystem of innovation has led to the establishment of several successful student-led startups, garnering substantial recognition. Moreover, the program instills an ethos of holistic development, wherein theoretical knowledge converges with practical proficiency, preparing graduates to excel as adept professionals in the dynamic realm of Artificial Intelligence and Machine Learning.

Program Highlights

  • The meticulously designed curriculum, created by accomplished academicians and industry professionals, covers a wide spectrum of AIML applications.
  • The Master of Computer Application (MCA) in Artificial Intelligence & Machine Learning program starts with a comprehensive grasp of AIML applications and emphasizes core subjects like statistics, discrete mathematics, and probability, forming a strong foundation.
  • The program shifts focus towards deriving ML models mathematically and implementing them in real-world scenarios using labeled datasets.
  • Students actively participate in faculty research, gaining insights into practical and innovative AIML applications, enhancing their learning experience.
  • Students engage in multiple projects with robust problem definitions, evaluated by senior faculty, alongside completing an internship, ensuring hands-on experience.
  • The curriculum includes specialized subjects such as Neural Networks, NLP, Cognitive Analytics, Robotics, and more, enabling students to specialize in various AIML domains.

The future scope of UPES School of Computer Science's Master of Computer Application (MCA) program in Artificial Intelligence & Machine Learning is highly promising. The program equips students with the skills needed to tap into the immense potential of AI and ML across industries. With AI and ML driving automation, businesses are embracing these technologies to boost efficiency and cut costs. Healthcare is benefiting from AI-driven diagnosis and personalized treatment plans. The program also focuses on IoT, empowering graduates to harness data from interconnected devices for smarter decision-making in areas like smart cities and industrial applications. Finance, marketing, cybersecurity, and entertainment sectors are undergoing transformation through AI-powered solutions, ensuring enhanced customer experiences, fraud detection, and personalized content. The program emphasizes ethical considerations, ensuring responsible development. Overall, this MCA program positions students to innovate ethically and excel in a world increasingly shaped by AI and ML advancements.

Career Opportunities

The Master of Computer Application (MCA) program in Artificial Intelligence & Machine Learning at UPES School of Computer Science equips graduates with the skills and knowledge needed to tap into the abundance of career opportunities in this dynamic field. With AI and ML driving transformation across industries, graduates can explore roles as Data Scientists, leveraging their expertise in statistics and programming to derive insights from data. Alternatively, the role of a Machine Learning Engineer beckons, involving the design and deployment of advanced ML systems. Those with a research inclination can thrive as AI Research Scientists, propelling the field's boundaries forward. Bridging technology and business, AI Solutions Architects craft strategic solutions. Beyond these roles, specialties like AI Ethicists, AI Consultants, and AI Product Managers enrich the landscape. The scope spans technology giants, research organizations, healthcare, finance, and startups, making adept MCA graduates indispensable in shaping the future.


The Master of Computer Application (MCA) in Artificial Intelligence & Machine Learning program at UPES School of Computer Science offers impressive placement opportunities. With an average annual salary of 4.92 LPA and the highest package reaching 11.2 LPA, the program ensures a rewarding start to students' careers. A diverse array of companies actively recruits from UPES, including renowned names like Accenture, Cognizant Technology Solutions, IBM, and Capgemini Technology Services India Limited, among others. This robust industry engagement attests to the program's relevance and quality. Graduates have secured positions in a variety of sectors such as Academor, Audax Lab, Benepik, Grant Thornton Bharat LLP, OnceHub, and LTI- L&T InfoTech, showcasing the program's effectiveness in preparing students for dynamic roles in the AI and Machine Learning domain.

Fee Structure

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Semester 1

Data Structures & Algorithms 3014
Data Base Management Systems3014
Problem Solving2002
Program Elective-13014
Python Programming2013
Topics in Mathematical Sciences30 3
TOTAL   20

Semester 2

Java Programming3014
Operating Systems3014
Software Engineering  & Agile Practices3014
Web Technologies 3014
Program Elective-23014
Program Elective-33003
EDGE – Advance Communication1000
TOTAL   23

Semester 3

Program Elective-43003
Program Elective-53003
Minor Project   4
Computer Networks3014
Object-Oriented Analysis and Design Using UML3  3
TOTAL   17

Semester 4

Major Project   20
TOTAL   20


Interested students must meet the following minimum eligibility criteria to apply for the Master of Computer Application (MCA) program in Artificial Intelligence & Machine Learning :Minimum 50% in 10th & 12th & 50% aggregate marks in BCA or B.Sc. (Computer Science) or B.Sc. (Information Technology) or any Graduation with Computer Science / IT as a subject for three years OR with (Mathematics or Statistics or Business Math’s or Business Statistics or QT as one of the subjects at Graduation or 10+2 level) or equivalent.

Selection Criteria

The selection criteria for individuals who wish to pursue the Master of Computer Application (MCA) program in Artificial Intelligence & Machine Learning at UPES School of Computer Science depend on their individual performance in Personal Interview.

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