The PhD course aims to develop a dynamic researcher which enables them to adapt according to the ever changing needs in the field of computer science in the years to come. The competencies inculcated during the course can be transferred to other disciplines to enrich the content of various disciplines. Technology has become a need of the hour; it touches every sphere of human life in the 21st century. Comprehending the knowledge of computers enables the researcher to adapt to ever changing nature in the field of computer science.

The main objective of the program is to develop disciplined computer professionals to find out new areas for innovations and make them self-reliant. Graduates of Ph.D. programs in computer science have a wide range of career options. They can work in academia, where they can conduct research and teach at universities. They can also work in industry, where they can develop new technologies and solve complex computational problems for companies of all sizes.

Master of Computer Applications (MCA) is a post-graduate programme of CHRIST (Deemed to be University) and approved by the All India Council of Technical Education (AICTE). It is a two-year programme spread over six trimesters to bridge the chasm between computer studies and applications bringing within reach of enthusiastic youngsters an excellent group of experienced and dedicated staff and experts, and an enviable infrastructure.

MCA at CHRIST (Deemed to be University) strives to shape outstanding computer professionals with ethical and human values to reshape nation’s destiny. The training programme aims to prepare young minds for the challenging opportunities in the IT industry with a global awareness rooted in the Indian soil, nourished and supported by experts in the field. The Department is committed to the motto “Excellence and Service” and this philosophy pervades every aspect of its functioning.

MSc (Computer Science and Applications) is offered by CHRIST (Deemed to be University) for the professionals working in the software industry or related fields. This program is intended to enhance their existing academic foundations with comprehensive understanding of the use and application of information technology.

The programme focuses on Advanced Operating Systems, Data Structures, Software Project Management, Networks, Data Warehousing and Data Mining.

Bachelor of Computer Applications (BCA) is an undergraduate program that focuses on building software professionals with strong practical and theoretical knowledge in Computer Science. The curriculum provides options for students to choose multiple electives depending on their interest of study. Interdisciplinary Courses on Mathematics, Statistics and Financial management enhance the breadth of domain knowledge. The program is backed by a well-motivated set of teachers and an upgraded lab facility. Students get opportunities to be part of in-house projects/research projects/consultancy projects. The sixth semester project would be a capstone project with deliverables in the form of a project/article/patent. Students with good academic records are encouraged to take up a FAST-TRACK so that they can go for a fulltime industry internship during the sixth semester. Ample opportunities with credit transfers

are available for students who would like to go on a student exchange to foreign universities for a short semester. The BCA degree opens doors to a multitude of career opportunities in the IT industry. Graduates can pursue roles as software engineers, designing, developing, and testing software applications. Their proficiency in programming languages makes them well-suited for web development, where they can create and maintain websites. Database management systems, the backbone of data storage and retrieval, offer career paths in database administration. Networking, the foundation of communication between computers, provides opportunities as network administrators, responsible for designing, installing, and managing computer networks. Security analysts, tasked with safeguarding systems from cyber threats, are in high demand due to the increasing reliance on technology.

The BSc undergraduate program in Computer Science and Mathematics provides students with a comprehensive and interdisciplinary education that combines the principles of computer science with the analytical rigour of mathematics. Designed to prepare students for the rapidly evolving digital landscape, the program equips them with a strong foundation in programming, algorithms, data structures, and software engineering while fostering advanced mathematical reasoning and problem-solving skills. Students explore various topics such as discrete mathematics, calculus, and linear algebra, gaining a deep understanding of the mathematical foundations that underpin Computer Science applications.  Through hands-on projects, collaborative research opportunities, and real-world applications, students develop proficiency in coding and computational techniques and learn to apply mathematical concepts to solve complex problems in various domains. The integration between computer science and mathematics is where the true power of this joint honours degree lies.

Students discover the elegance and applicability of mathematics in computer science, using mathematical principles to design efficient algorithms and analyze complex computational problems. Conversely, computer science provides a platform for visualizing and exploring mathematical concepts, bringing abstract ideas to life through simulations and interactive models. The BSc Computer Science and Mathematics course is not merely an academic pursuit but a transformative journey into the heart of the digital era. It empowers students to become architects of change and innovators who shape the future with their combined computer science and mathematics expertise. Whether they delve into the depths of artificial intelligence, harness the power of data science, or explore the uncharted territories of cybersecurity, graduates are prepared to impact the world around them profoundly.

The BSc undergraduate program in Computer Science and Statistics offers a dynamic and interdisciplinary approach to the ever-evolving fields of computer science and statistics. This comprehensive program equips students with a solid foundation in programming, algorithms, and software engineering, while also delving deep into the principles of statistical analysis, data modelling, and probability theory. This unique blend of knowledge and skills prepares graduates for a wide range of careers in various industries. Students gain hands-on experience in designing innovative software solutions and harnessing the power of statistical methods to extract meaningful insights from complex data sets. With a curriculum designed to meet the demands of the digital age, graduates emerge well-prepared for diverse career paths, ranging from data analysis and machine learning to

software development and business intelligence. Through a combination of theoretical knowledge and practical skills, students in this program are empowered to tackle real-world challenges, making significant contributions to the fields of computer science and statistics. The demand for BSc Computer Science and Statistics graduates is projected to grow significantly in the coming years, driven by the increasing adoption of data analytics and machine learning across various industries. The Bureau of Labor Statistics projects that employment for data scientists will grow by 22.8% from 2020 to 2030, much faster than the average for all occupations. Similarly, employment for software developers is expected to grow by 22% during the same period.

Machines are gaining more intelligence to perform human-like tasks.  Artificial Intelligence has spanned across the world irrespective of domains. MSc (Artificial Intelligence and Machine Learning) will enable to capitalise this wide spectrum of opportunities to the candidates who aspire to master the skill sets with a research bent. The curriculum supports the students to obtain adequate knowledge in the theory of intelligence with hands-on experience in relevant domains with tools and techniques to address the latest demands from the industry.

It comprises foundational courses from computer Science and advanced courses in the area of Artificial Intelligence and Machine Learning including Natural Language Processing, Deep Learning, Image processing, Soft Computing and IIoT. Research labs, guest lectures, Seminars, practical courses on latest tools, real time application development, multiple elective streams from specialised domains and interdisciplinary are an integral part of the curriculum. Exposure to handle the complex heterogeneous data to solve societal problems is the most preferred skill set required today.