|Department of Applied Sciences
About
BSc in Data Science program at The NorthCap University provides an in-depth understanding of data sciences and the techniques for analysis of quantitative and qualitative data to arrive at solutions. In India, more and more businesses are shifting focus and resources to big data and digital products. Leaders across BFSI, manufacturing, media and entertainment, professional services, retail and consumer products, technology software are looking at technology to drive scale, efficiency, and growth. Machine Learning Engineers and Data Scientists find themselves in massive demand. Being one of the best BSc colleges in India, this is a comprehensive program that has been designed after extensive feedback from academicians and industry people.The NorthCap University is stepping towards inculcating the required skills in students to be the future of Data Science, Data Engineering and Business Analysis by offering one of the best BSc courses in Delhi, NCR region.
Career Opportunities
After completion of the course the data science graduates will be able to identify patterns, predict trends and analyze data and will become successful professionals in various sectors such as banking, Pharmaceutical companies, insurance, retail, transport, industries, healthcare, etc. Students will be able to provide organizations a powerful source of insight as they plan the future of their workforce. The graduates will have career opportunities in Machine Learning, Application Development Analyst, Back End Developer, Full Stack Engineer, Data Scientist, Customer Success Manager, Digital Marketing Specialist, Big Data Developer, Sales Recruiter, Python Developer
Highlights
- Highly experienced and Research oriented Faculty, all holding Ph.D. degrees (mostly from IITs, NITs and Central Universities).
- Industry-oriented curriculum which enables the students to preparefor technical careers in developing applications and providing help in decision-making processes to the business with a focus towards applying machine learning knowledge for the business profits.
- Provides a sound understanding of skills, tools and technologies like Python needed to successfully perform statistical modelling, data wrangling, analyzing and data visualization.
- Machine learning techniques to automatically find the valuable underlying patterns and predict future events and perform all kinds of complex decision making.
- Hands on Big Data Technology through Cloud platform helps in taking better business decisions as well as the future steps to enhance organizations productivity.
- Project Guidance and Mentoring by Industry Experts
- Active participation of faculty and students in competitions
- Well Equipped Labs for hands on learning
Programme Educational Objectives (PEOs)
- To equip students with knowledge, abilities and insight in mathematics and related fields.
- To develop the ability of students to utilize the mathematical problem in solving methods such as analysis, modelling, programming and mathematical software applications in addressing the practical and heuristic issues.
- To develop the skill of graduates to write entrance exam conducted by IIT’s/Universities to pursue PG and Integrated PhD and to gleam as great Mathematicians.
- To develop the confidence of graduates to appear for SSC, IBPS, RRB and Civil services exam and to occupy higher posts at administrative level.
- To equip the students with latest technology and techniques in Data Science like Python, Machine learning, Big Data Technology etc.
- To enable graduates to choose their course as a training ground to develop their positive attitude and skills which will enable them to become a multi facet personality shining in any chosen field.
Programme Outcomes (POs)
- To enhance logical reasoning, arithmetic, aptitude and communication skills, for better employability.
- To formulate and apply first-hand knowledge in advanced applications in various disciplines of Mathematics, Physics and Chemistry and forefront research experience
- To communicate and analyse the results of theoretical calculations and laboratory experiments in a clear and concise manner that incorporates the scientific conventions.
- To understand the professional and ethical responsibility that has an impact on their higher studies and professional career.
- To work in different disciplines of science, engineering, or computing in a solid core education
- To become proficient in fundamentals of Mathematics, Physics, Chemistry, and in
scientific reasoning and effective communication for overall development. - To select, apply, and evaluate models to devise solutions to data science tasks.
Programme Specific Outcomes
PSO1: The students will acquire the ability to understand the evolutionary changes in computing, apply standard practices and strategies in data analytics for business success, real world problems and meet the challenges of the future.
PSO2: The students will be able to transform findings from data resources into actionable business strategies.
PSO3: The students will acquire the ability to understand, analyze and make decision for predicting the future outcome with the help of data science.
Scheme of B.Sc. (HONS) DataScience 2022-23
Download Scheme
SCHEME OF B.Sc. (HONS) DataScience 2021-24
Download Scheme
SCHEME OF B.Sc. (HONS) DataScience 2020-23
Download Scheme
Minimum Eligibility Criteria
B.Sc. in Data Science (3 Years)
10+2 (English Medium) examination conducted by Central Board of Secondary Education or equivalent examination from a recognized board with an overall aggregate of minimum 50%. (Maths as compulsory subjects with minimum 50% marks)
Selection Criteria
Selection will be based on merit of 10+2 conducted by Central Board of Secondary Education or equivalent examination from a recognized board (IB/ICSE)
OR
SAT Score
Seats
| Degree Offered | Seats |
| B.Sc. in Data Science | 30 |
Financial Assistance
Programme Fee
B.Sc. in Data Science (3 Years)
For Year 2022-23
For Indian Students
For NRI Students
Hostel Fee (where applicable) Rs. 75,000/- per semester
Fee Concession cum Scholarship
| % of Scholarship | Eligibility (For CBSE as per percentage score in applicable subjects by program. Normalised Scores will be taken for other Boards with respect to CBSE) |
| 25% | CBSE: 90.1% and above |
| 10% | CBSE: 85%<= 90 |
- 20% scholarship on the tuition fees to the university employees’ ward/wards in the First Year Only
- 15% scholarship of the tuition fees for the university Alumni ward/wards, in the First Year Only
- Aggregate marks of Best 5 subjects in class XIIth examination conducted by CBSE or equivalent examination from a recognized board will be considered for scholarship criteria. For Boards other than CBSE, normalized scores as decided by scholarship and admission committee will be considered for scholarship criteria.
- Scholarships to be announced and reimbursed only after completion of admissions for AY22-23. Students who apply by the cut off date will only be eligible for scholarships. Cut off date will be notified during the admission process.
- There are a limited number of scholarships that will be served only on the basis of merit, if there are higher number of students in a particular scholarship bracket, the students in the order of merit will be shifted to immediately lower bracket
- Students applying with 2021 scores are not eligible for scholarships.
- Scholarships seats will be reduced on the pro-rata basis of actual enrolment.
- Scholarship not to be offered for any programs with less than 30 enrolments.
- Minimum CGPA of 8.50 is required to carry forward scholarship after first year and must have passed all the examinations and there should not be any disciplinary action against the student
- At any point of time during an academic year, a student can avail of benefits from one scholarship plan only. Student who once avail any scholarship will not be eligible for any other scholarship
- The management reserves the right to change the scholarship policy as per their discretion
- The scholarship will be awarded based on the above criteria at the sole discretion of the Admission and Scholarship Committee