Programme Details

BSc (Computer Science, Data Science/Honours/Honours with Research)

  • Pune Lavasa Campus
  • Open From : 28-Oct-2024
  • Open Until : 29-Apr-2025

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.
 

 

PO1. Understand and apply fundamental principles, concepts and methods in critical areas of science and multidisciplinary fields.
PO2. Demonstrate problem-solving, analytical and logical skills to provide solutions for scientific requirements.
PO3. Develop critical thinking with  scientific temper.
PO4. Communicate the subject effectively.
PO5. Understand the importance and judicious use of technology for the sustainable growth of humanity in synergy with nature.
PO6. Understand professional, ethical, and social responsibilities.
PO7. Enhance research culture and uphold scientific integrity and objectivity.
PO8. Engage in continuous reflective learning in the context of technological and scientific advancements.
 

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

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

  • Industry Internships: Real-world experience through internships in tech companies.
  • Research Projects: Encouraging students to work on independent or guided research projects.
  • Workshops and Seminars: Sessions with industry experts to provide insights into cutting-edge technologies.
  • Club Activities: Active participation in technical clubs and coding competitions.
  • Guest Lectures: Interaction with professionals to gain knowledge about current industry trends.

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.

| 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?

  • Interdisciplinary Curriculum
  • Global Standards
  • Hands-on Learning
  • Research Opportunities
  • Cutting-Edge Tools
  • Problem-Solving Focus
  • Career Readiness

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.
 

 

PO1. Understand and apply fundamental principles, concepts and methods in critical areas of science and multidisciplinary fields.
PO2. Demonstrate problem-solving, analytical and logical skills to provide solutions for scientific requirements.
PO3. Develop critical thinking with  scientific temper.
PO4. Communicate the subject effectively.
PO5. Understand the importance and judicious use of technology for the sustainable growth of humanity in synergy with nature.
PO6. Understand professional, ethical, and social responsibilities.
PO7. Enhance research culture and uphold scientific integrity and objectivity.
PO8. Engage in continuous reflective learning in the context of technological and scientific advancements.
 

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

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

  • Industry Internships: Real-world experience through internships in tech companies.
  • Research Projects: Encouraging students to work on independent or guided research projects.
  • Workshops and Seminars: Sessions with industry experts to provide insights into cutting-edge technologies.
  • Club Activities: Active participation in technical clubs and coding competitions.
  • Guest Lectures: Interaction with professionals to gain knowledge about current industry trends.

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.

Candidates falling under any of the below mentioned categories must apply under the International Student Category:

  • Foreign citizens,
  • PIO card holders and
  • OCI (Dual Citizens)

International students coming from Non-English speaking countries should:

  • Produce evidence of passing the qualifying examination in English medium or
  • Have IELTS 6.0 with no sub-score below 5.5 or TOEFL (paper) 550, TOEFL (computer) of 213 or TOEFL (IBT) of 79 scores

Candidates without the above pre-qualifications will have to enroll either for

  • Intensive Certificate course in English Language (Full Time) conducted from March to May each year or
  • One Semester Certificate course in English Language (Part Time) conducted after regular class hours from June to December.

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.
 

  • Direct mode Application
  • Online Application form

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.
 

 

PO1. Understand and apply fundamental principles, concepts and methods in critical areas of science and multidisciplinary fields.
PO2. Demonstrate problem-solving, analytical and logical skills to provide solutions for scientific requirements.
PO3. Develop critical thinking with  scientific temper.
PO4. Communicate the subject effectively.
PO5. Understand the importance and judicious use of technology for the sustainable growth of humanity in synergy with nature.
PO6. Understand professional, ethical, and social responsibilities.
PO7. Enhance research culture and uphold scientific integrity and objectivity.
PO8. Engage in continuous reflective learning in the context of technological and scientific advancements.
 

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

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

  • Industry Internships: Real-world experience through internships in tech companies.
  • Research Projects: Encouraging students to work on independent or guided research projects.
  • Workshops and Seminars: Sessions with industry experts to provide insights into cutting-edge technologies.
  • Club Activities: Active participation in technical clubs and coding competitions.
  • Guest Lectures: Interaction with professionals to gain knowledge about current industry trends.

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.

Students who fall under any of the following classifications, at the time of application may apply under NRI Student category and be liable to pay the fees applicable to the category for the entire duration of the course.

  • NRI defined under the Indian Income Tax Law
  • Either of the parents is outside India (except Nepal) on Work Permit / Resident Permit.
  • Indian citizen financed by any Institution /  agency outside India, even if parents are Residents of India.
  • Indian Citizen who has pursued studies for qualifying examination in any foreign / Indian syllabus outside India.
  • Indian citizen pursued studies for qualifying examination in foreign syllabi in India.

Note: If only condition 5 is satisfied, and not conditions 1 to 4 above,NRI student category fee will be applicable only for the first year.
 

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.
 

 

PO1. Understand and apply fundamental principles, concepts and methods in critical areas of science and multidisciplinary fields.
PO2. Demonstrate problem-solving, analytical and logical skills to provide solutions for scientific requirements.
PO3. Develop critical thinking with  scientific temper.
PO4. Communicate the subject effectively.
PO5. Understand the importance and judicious use of technology for the sustainable growth of humanity in synergy with nature.
PO6. Understand professional, ethical, and social responsibilities.
PO7. Enhance research culture and uphold scientific integrity and objectivity.
PO8. Engage in continuous reflective learning in the context of technological and scientific advancements.
 

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

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

  • Industry Internships: Real-world experience through internships in tech companies.
  • Research Projects: Encouraging students to work on independent or guided research projects.
  • Workshops and Seminars: Sessions with industry experts to provide insights into cutting-edge technologies.
  • Club Activities: Active participation in technical clubs and coding competitions.
  • Guest Lectures: Interaction with professionals to gain knowledge about current industry trends.

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.

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.
 

 

PO1. Understand and apply fundamental principles, concepts and methods in critical areas of science and multidisciplinary fields.
PO2. Demonstrate problem-solving, analytical and logical skills to provide solutions for scientific requirements.
PO3. Develop critical thinking with  scientific temper.
PO4. Communicate the subject effectively.
PO5. Understand the importance and judicious use of technology for the sustainable growth of humanity in synergy with nature.
PO6. Understand professional, ethical, and social responsibilities.
PO7. Enhance research culture and uphold scientific integrity and objectivity.
PO8. Engage in continuous reflective learning in the context of technological and scientific advancements.
 

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

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

  • Industry Internships: Real-world experience through internships in tech companies.
  • Research Projects: Encouraging students to work on independent or guided research projects.
  • Workshops and Seminars: Sessions with industry experts to provide insights into cutting-edge technologies.
  • Club Activities: Active participation in technical clubs and coding competitions.
  • Guest Lectures: Interaction with professionals to gain knowledge about current industry trends.

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.

For any queries at any given time during the application and admission process, you may contact us through the following Email ID’s:

Pune Lavasa Campus

CHRIST (Deemed to be University),

Christ University Road, 30 Valor Court,

PO Dasve Lavasa, Mulshi, Pune - 412112, Maharashtra

 

 1800-123-2009
  admission.lavasa@christuniversity.in

 

Between: Monday to Friday: 09:00 AM to 05:00 PM, Saturday: 09:00 AM to 04:00 PM
(Office remains closed on Sundays, government holidays and any special events)

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.
 

 

PO1. Understand and apply fundamental principles, concepts and methods in critical areas of science and multidisciplinary fields.
PO2. Demonstrate problem-solving, analytical and logical skills to provide solutions for scientific requirements.
PO3. Develop critical thinking with  scientific temper.
PO4. Communicate the subject effectively.
PO5. Understand the importance and judicious use of technology for the sustainable growth of humanity in synergy with nature.
PO6. Understand professional, ethical, and social responsibilities.
PO7. Enhance research culture and uphold scientific integrity and objectivity.
PO8. Engage in continuous reflective learning in the context of technological and scientific advancements.
 

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

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

  • Industry Internships: Real-world experience through internships in tech companies.
  • Research Projects: Encouraging students to work on independent or guided research projects.
  • Workshops and Seminars: Sessions with industry experts to provide insights into cutting-edge technologies.
  • Club Activities: Active participation in technical clubs and coding competitions.
  • Guest Lectures: Interaction with professionals to gain knowledge about current industry trends.

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.

1. Admission Registration fee of INR 8,000/- (Non-Refundable)

2. Programme fee as per the below table

Year

Indian States

NRI

Saarc / Africa / OCI / PIO / ASEAN

Other Foreign Nationals

1

1,45,000 INR

2,20,000 INR

2,900 USD

3,300 USD

2

1,45,000 INR

2,20,000 INR

2,900 USD

3,300 USD

3

1,45,000 INR

2,20,000 INR

2,900 USD

3,300 USD

4

 1,90,000 INR 2,80,000 INR 4,000 USD 5,000 USD
Time of Payment : All the candidates have to pay the I Year fee immediately after confirmation of the admission. II & III Year fee must be remitted before 31 March of every year (end of financial year)

It is to be noted that though the fee is fixed for three years, there may be a periodic nominal increase to meet the rise in costs.

1. Indian nationals pursuing international curriculum in India, will pay the fee applicable for NRI status for the first year. Indian citizens who have studied foreign syllabi in India for the qualifying examination (applying for UG / PG / MPhil / PhD Programme has to be approved by UGC / AIU).

(The above condition is not applicable to NRI and candidates applied under NRI Category).

2. NRI fee is applicable for the full duration of the programme for candidates who;

  • Have pursued and completed their last qualifying exam from outside India.
  • Are NRI and candidates who have applied under NRI category.

3. To claim Indian category fee, the candidates should have studied last 7 years in India. (Not applicable for OCI, PIO and Foreign Nationals).

4. Admission registration fee of INR 8000/- is non-refundable in the event of cancellation of admission. This fee will be apart from cancellation charges if any applicable.                      

5. All Candidates If “Selected” after appearing for the final selection process, The fee may be paid through the following option:

  •     Payment can made through Net banking / NEFT / RTGS
  •     Payment / Transfer of fees does not guarantee the admission.

CHRIST

(Deemed to be University)

Christ University Road, 30 Valor Court
At Post: Dasve Lavasa,Taluka: Mulshi
Pune 412112, Maharashtra.

Tel: 1800-123-2009

Email: mail.lavasa@christuniversity.in

Web: http://www.lavasa.christuniversity.in

Vision

EXCELLENCE AND SERVICE

Mission

CHRIST (Deemed to be University) is a nurturing ground for an individual's holistic development to make effective contribution to the society in a dynamic environment.

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