B.Sc (Hons) Data Science
A unique Four year B.Sc. (Hons.) Programme in Data Sciences
BSc (Hons) Data Science Program at RV University offers students a firm foundation in computing and specialisation in cutting edge technologies. The courses also provides an opportunity for students for interdisciplinary learning by doing a minor in other schools at RVU, Latest teaching and learning methods have been incorporated in the course design to enable flipped learning, mastery learning and peer learning using modern world class facilities. The general core and electives of the program improve 21st century skills such as, communication skills, creativity and innovation, collaboration, Social awareness, self-awareness Critical thinking, Problem solving skills and others which are highly sought after by leading industries for placements. Our innovative assessment methods focus on learner analytics leading to individual target profiles for global careers. Our faculty have hands-on knowledge with industry and research experience and have degrees from premier universities in India and abroad. Our student clubs and plenty of extracurricular activities ensure memorable campus life.
Course Highlights
1. Cutting edge Curriculum for Excellent career prospects
2. Minors in Sports/Arts/Entrepreneurship/Community Service/UPSC preparation, Design, Economics, Business, Film making for Activity based courses, Project based learning, Project portfolios to win good placements
click here to view the course structure
RVU does not discriminate based on ethnicity, colour, religion, sex, disability, age, or any factors other than academic matters. The University considers the past academic performance/ merit and equity as the guiding principles for admission in the various programmes of the University.
10+2 or equivalent in Science or Commerce with min 60% Marks.
Maths not required as we will conduct a bridge course
Based on performance in RVSAT and RVU’s Selection Process
Application Procedure
Step 1 – Registration of credentials in the Apply Now page of RVU
Step 2 – Verification of email
Step 3 – Filling in the application form
Step 4 – Payment of application fee
Step 5 – Submission of application form
Step 5 – Issuance of selection letter within 48 hours to block the seat – Via mail
Step 6 – Payment of registration fee of Rs 25,000 to block the seat by the candidate
Step 7 – Balance fee payment as per the offer letter
Students who are considering the program are encouraged to explore and experience Deep Dive into computing, especially those who have not had a chance to explore computing in their high school and higher secondary school. Also many of the students who have not taken mathematics in their higher secondary, will benefit from the Deep Dive in Computing. The bridge course will address the gaps if any in the prerequisites.
RV University has organized an open ended Deep Dive into Computing course. The course will be conducted in two modes.
a) Classroom mode.
b) Online Mode.
Students who are intending to study BSc Honors in Computer Science and Data Science at RVU are invited to attend the camp in one of the modes.
Eligibility: All students who have applied to the BSc Honors program at RVU can attend the camp.
Timings:
Introduction to Computational Thinking : 3 pm to 4 pm (Offline),
Mathematical Foundations: 2 pm to 3 pm (Offline),
Online timings will be announced during registration.
Course Details:
Introduction to Computational Thinking.
The course will be taught using very simple basic programs using python to demonstrate the concepts of Pattern Identification, Procedural Thinking, Abstraction and Decomposition. Student are not expected to have any prerequisites in computing
Mathematics for Computing Studies.
In this course the students will be introduced to solving problems using the following concepts.-
Number Theory – Counting, Permutations and Combinations
Algebra – Simultaneous Linear Equations.
Coordinate Geometry – Equation of Line
Matrices – Matrix addition, Transpose, multiplication.
Sets – Venn diagram and problems.
Functions – constant, linear, quadratic, Asymptotic functions
Series – Arithmetic Progression, Geometric Progression
For registration and inquiry about ‘deep dive into computing’, kindly contact: 6363132938
Have an enquiry or need more information?
Our team is here to address and answer all your questions.
School of Computer Science and Engineering
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