The Bachelor of Science (Computer Science, Data Science / Honours / Honours with Research) program offers a comprehensive education, blending computer science fundamentals with advanced data science techniques. This interdisciplinary approach equips students with algorithmic and analytical skills for data-driven problem-solving and decision-making. Aligned with top global standards, the curriculum includes hands-on projects in AI, machine learning, and big data analytics. With Honours and Research tracks, students gain deeper expertise, positioning them to make impactful contributions in both academic and industry settings.
| Overview
The Bachelor of Science (Computer Science, Data Science / Honours / Honours with Research) program offers a comprehensive education, blending computer science fundamentals with advanced data science techniques. This interdisciplinary approach equips students with algorithmic and analytical skills for data-driven problem-solving and decision-making. Aligned with top global standards, the curriculum includes hands-on projects in AI, machine learning, and big data analytics. With Honours and Research tracks, students gain deeper expertise, positioning them to make impactful contributions in both academic and industry settings.
| Why choose this course?
Note: The International Student category fee structure is binding for the full duration of the programme and cannot be transferred /changed in between.
Candidates from the above listed categories having pursued Indian Educational qualification and who may have applied under the Indian States Category will have to pay the International Student Category Fee. The decision of the admission committee is final.
Candidates seeking admission through International Student category (Foreign Nationals/PIO/OCI) will have a separate application process, with the following options to apply for any programme at Christ University.
Online Application form
Email ID for any clarifications: admission.lavasa@christuniversity.in
Students are welcome to apply under the Non-Resident Indian category for the programmes offered by the University. Application process is common for all category of applicants
Students who fall under any of the following classifications can apply under NRI Student category and be liable to pay the fees applicable to the category for the entire duration of the programme
Admission to all programmes is based on academic performance and CHRIST (Deemed to be University) Selection Process.
Applicants must read through the Eligibility, Important Dates, Selection Process, Fee Structure and other details under the preferred programme given on our website before proceeding with the Application Process.
CHRIST (Deemed to be University), Christ University Road, 30 Valor Court, PO Dasve Lavasa, Mulshi, Pune – 412112, Maharashtra
Phone
1800-123-2009
Email
admission.lavasa@christuniversity.in
Between: Monday to Friday: 09:00 AM to 04:00 PM,
Saturday: 09:00 AM to 12:00 PM
(Office remains closed on Sundays, Government Holidays and Any special events)
Make sure to have all the original documents and a full set of black and white photocopies (xerox).
PSO1. Design and develop secure, efficient systems that address real-world challenges with a focus on quality and reliability.
PSO2. Employ computational strategies to optimize and integrate emerging technologies, enhancing the effectiveness of digital solutions.
PSO3. Create solutions using Data-Driven insights, quantitative reasonings and analytical findings.
PSO4. Innovate in Artificial Intelligence and Automation by taking advantages of relevant tools and processes.
PSO5. Seamlessly integrate emerging technologies into applications that meet interdisciplinary and automation requirements.
PSO6. Exhibit agile leadership in applying industry standards and advanced tools for impactful tech solutions.
PSO7. Lead the creation of technology addressing global challenges, promoting sustainability and inclusivity.
PSO8. Conduct original research through inquiry and experimentation to advance knowledge and create solutions addressing technical, societal, and industry-specific challenges
Programme Objectives
Develop Strong Computational and Analytical Thinking
Equip students with the ability to solve complex computational problems by applying mathematical, statistical, and programming skills to real-world data challenges.
Enhance Data-Driven Decision Making
Foster proficiency in handling, analysing, and interpreting large datasets, empowering students to make informed, data-driven decisions across various domains like business, healthcare, and technology.
Cultivate Innovation and Problem-Solving Abilities
Encourage creative thinking and innovative problem-solving by exposing students to cutting-edge technologies, allowing them to develop solutions for emerging challenges in the fields of data science and computer science.
Strengthen Communication and Team Collaboration Skills
Develop students’ ability to effectively communicate technical concepts, research findings, and data-driven insights to both technical and non-technical audiences, while working in interdisciplinary teams.
Advance Technical Proficiency and Digital Competence
Ensure students gain hands-on experience with industry-standard tools and technologies, such as Python, R, SQL, and cloud platforms, keeping them ahead of technological advancements in computer science and data science.
Instil Ethical Practices in Technology and Data Management
Promote awareness of ethical issues related to data privacy, security, and the responsible use of technology, encouraging students to adopt socially responsible practices in their professional lives.
The BSc programme is spread over three years, comprising six semesters. Core subjects are covered in the first three semesters, with specialized topics starting in the fourth semester onwards. The programme offers an interdisciplinary approach, combining Computer Science and Data Science to provide a robust foundation in both fields. The curriculum is designed to ensure that students acquire a strong theoretical grounding along with practical, hands-on experience in various technologies and methodologies.
The programme emphasizes problem-solving, data analysis, critical thinking, and collaboration skills to prepare students for careers in a rapidly evolving tech landscape. Students also engage in live projects, industry internships, and research-based learning, ensuring they stay updated with the latest trends and best practices in Data Science, Machine Learning, and AI.
Key Activities
The BSc course plan is aimed at building core technical skills, along with the development of analytical, computational, and programming competencies to meet the needs of the modern tech industry.
Address
Christ University Road, 30 Valor Court
At Post: Dasve Lavasa, Taluka: Mulshi
Pune 412112, Maharashtra.
Telephone
Mail Us At