Sanskriti University, Mathura

MCA - Artificial Intelligence & Machine Learning at Sanskriti University, Mathura

The MCA (Master of Computer Applications) in Artificial Intelligence & Machine Learning at Sanskriti University, Mathura is an advanced post-graduate program designed to provide students with an in-depth understanding of the rapidly growing fields of Artificial Intelligence (AI) and Machine Learning (ML). This comprehensive 2-year course blends theoretical knowledge with practical skills, aiming to equip students with the expertise needed to tackle the challenges of tomorrow’s digital world. The course is meticulously designed to prepare students for careers in diverse areas of technology, focusing on AI and ML, which are transforming industries worldwide.

MCA AIML Course Duration

The duration of the MCA in Artificial Intelligence & Machine Learning program at Sanskriti University is 2 years. The course is divided intofour semesters, each designed to cover key topics in AI and ML. The first year focuses on foundational computer science principles, while the second year delves into specialized AI and ML concepts. Throughout the program, students will engage in both theoretical coursework and practical application, ensuring they graduate with the skills needed to succeed in this rapidly evolving field.

MCA AIML Course Fee

The course fee for the MCA - Artificial Intelligence & Machine Learning program is ₹1,00,000 per year. This fee structure ensures that students receive a high-quality education, access to state-of-the-art facilities, and the opportunity to collaborate with industry leaders. The fees cover all aspects of the course, including academic resources, project work, guest lectures, and access to the university's hi-tech computer labs.

Eligibility Criteria for MCA (AIML) Program

To be eligible for the MCA - Artificial Intelligence & Machine Learning program at Sanskriti University, candidates must meet the following criteria:

• Educational Qualifications: Candidates must have completed a Bachelor’s degree in Computer Applications (BCA), Computer Science Engineering, or an equivalent degree. Alternatively, candidates who have completed a Bachelor of Science (B.Sc.), Bachelor of Commerce (B.Com.), or Bachelor of Arts (B.A.) with Mathematics at the 10+2 level or at the graduation level (with additional bridge courses as per the university’s norms) are also eligible to apply.

• Minimum Marks: Candidates must have obtained at least 50% marks in their qualifying examination (45% for candidates belonging to reserved categories).

The program is designed to accommodate a diverse range of students, making it accessible to those with different academic backgrounds, provided they meet the core mathematical and computer science prerequisites.

Why Choose Sanskriti University?

The MCA - Artificial Intelligence & Machine Learning program at Sanskriti University offers several key features that make it stand out from other similar courses offered at universities across the country:

1. Technical Expertise in Core Computer Applications: Students will gain a solid understanding of computer science fundamentals, ensuring they have the technical expertise to excel in AI and ML. The course covers core subjects like data structures, algorithms, programming languages, and computer networks.

2. Hi-Tech Computer Labs: Sanskriti University boasts state-of-the-art computer labs with the latest technology. These labs are equipped with high-performance computing systems, AI tools, and machine learning software, providing students with the resources they need to experiment and learn effectively.

3. Collaboration with TCS iON: In partnership with TCS iON, one of the largest IT services companies in India, students will have access to industry-leading tools and platforms. This collaboration ensures that the curriculum is aligned with the latest industry trends, giving students exposure to real-world applications of AI and ML.

4. Guest Lectures and Webinars by Industry Experts: Students will have the unique opportunity to attend guest lectures and webinars conducted by industry experts. These sessions provide valuable insights into the latest developments in AI and ML, as well as career guidance from professionals working at top tech companies.

5. Scope for Career Growth: Graduates of this program will be well-equipped to pursue careers as database administrators, system administrators, AI/ML specialists, and data scientists at some of the world’s leading IT companies. With AI and ML being at the forefront of technological innovation, students will have access to a wide range of job opportunities globally.

6. Practical Learning and Experience: The program emphasizes practical learning, with students participating in projects and hands-on exercises. This approach ensures that graduates are not just academically proficient but also have the practical skills needed to tackle real-world challenges.

7. Project-Based Learning: Students will work on industry-based projects throughout the course, allowing them to gain practical experience and apply their knowledge to solve real-world problems. This project-based learning approach is one of the key components of the curriculum, fostering innovation and creativity.

Career Opportunities after MCA (AIML)

The MCA in Artificial Intelligence & Machine Learning opens doors to a wide range of career opportunities. The demand for skilled professionals in AI and ML is growing rapidly, with companies across various industries seeking experts who can develop intelligent systems and analyze vast amounts of data. Graduates can pursue careers in the following fields:

• Artificial Intelligence (AI) Engineer: AI engineers develop intelligent systems that can mimic human behavior, solve problems, and make decisions. This is one of the most in-demand roles in the tech industry.

• Machine Learning Engineer: Machine learning engineers build algorithms that allow computers to learn from data and make predictions. They play a key role in the development of AI systems.

• Data Scientist: Data scientists analyze large datasets to uncover trends, patterns, and insights. They use AI and ML tools to make data-driven decisions in industries such as finance, healthcare, and marketing.

• Database Administrator: Database administrators design, implement, and manage databases that store and organize critical business data. They ensure data integrity, security, and availability.

• System Administrator: System administrators are responsible for managing and maintaining the computer systems and networks of organizations. They ensure that systems are secure and running smoothly.

• AI/ML Specialist: AI/ML specialists focus on the implementation of machine learning algorithms and AI models in real-world applications, helping businesses harness the power of AI.

The course also provides a solid foundation for those interested in pursuing research in AI and ML, with opportunities for further academic study or a career in academia.