The application of Data Science is an incremental part of almost every computing technology we use. Its applications…
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The application of Data Science is an incremental part of almost every computing technology we use. Its applications are innumerable and it is an interdisciplinary field of study combining a varied range of topics and concepts. But, what really is Data Science? In simple terms, it is actually a blend of copious tools, algorithms, and machine learning principles which are applied to discover hidden patterns from the raw data and also to compile it in such a way that it is beneficial to the user. In today’s digital world, tons of data is stored regarding anything, be it consumers’ data, longitude, latitudes, special military codes or even the census of population. For those planning to study this field, here is a blog that delves deeper into what a BSc in Data Science entails, top universities you can pursue it from as well as eligibility criteria and its career scope.
Related Read: MBA in Data Science
| Full Form Bachelor of Science in Data Science | |
| Course Level Undergraduate | |
| Duration 3 years | |
| Eligibility Criteria 10+2 with Science subjects form a recognized board | |
| Course Fee 6 Lakh | |
| Average Salary 5-7 Lakh | |
| Job Profile Data Architect, Data Scientist, Data Analyst/Manager |
Course Overview
BSc in Data Science is usually offered as a 3-year undergraduate degree program which introduces students to the upcoming and rapidly growing fields of big data and its applications. You will get to learn about the processes of collecting as well as storing complex, big chunks of data along with organising them in a manner that is accessible and easy to understand. Further, universities offering this degree program generally incorporate training and industrial exposure into the course curriculum through which individuals work on varied projects to implement their theoretical knowledge as well as get a better sense of how techniques and analysis tools of big data are applied in different sectors.
Must Read: Data Science Courses in India
Why Pursue BSc Data Science?
The following are the top reasons to pursue BSc Data Science:
- Data science is a rapidly evolving field with an increase in demand for professionals
- BSc in Data Science equips students with practical knowledge of statistical tools and develops a methodology of both theoretical and practical applications
- It provides students with in-depth knowledge of data science and many areas including big data, data mining, statistical techniques, etc
- Data science graduates have multiple growth opportunities with some of the most well-paid jobs
- Opting for a career in Data Science, you can explore a multitude of opportunities in both public and private sector or can pursue a career in research and development.
BSc in Data Science: Subjects Covered
The syllabus of BSc in Data Science is meticulously designed to provide students with the understanding of big data techniques as well as their applications along with incorporating an interdisciplinary blend of statistics, software programming as well as mathematics. Though the course curriculum and structure of BSc in Data Science might vary as per the university, here are the major subjects that are usually included under this degree program:
- Programming
- Basics of Computer Science
- Mathematics
- Statistics
- Data Mining
- Data Manipulations
- Data Structure
- Data Presentation
- DBMS
- Applied Mathematics and Informatics
- Communication Skills
Check Out Our Comprehensive Blog on Syllabus of Data Science!
Top Universities Offering BSc in Data Science & Its Variants
There are numerous universities across the globe that offer a wide range of bachelor’s degrees in Data Science as well as its related specialisations. The following table elucidates some of the prominent universities that you must consider for pursuing BSc in Data Science or its variant programs:
Eligibility Criteria
In order to qualify for a BSc in Data Science, aspirants are required to qualify for the specified criteria provided by their chosen university. Below given are some of the basic eligibility prerequisites that you must keep in mind while applying for this course:
- Students must have passed their 10+2 in Science Stream with Maths, Physics and a programming language.
- GRE scores
- The applicant will be required to provide English-language proficiency scores of any of the exams such as IELTS/TOEFL/PTE.
- Statement of purpose [SOP], Letter of Recommendation [LORs], transcripts, updated CV/resume will be needed at the time of application.
Note: The requirements for a bachelor’s degree in Data Science might differ as per the program and university. Students are advised to go through the program specifications carefully before applying for the course.
Here’s an Exclusive List of Data Analytics Courses
Documents Required
Here are the list of documents required to complete the admission process for pursuing a BSc in Data Science:
Admission Process
You can call our Leverage Edu experts at 1800 572 000 to find out how the application process can be fast-tracked and streamlined to study BSc in Data Science. Here’s a guide to give your application process a start:
- Call our Leverage Edu student counsellors at 1800 572 000 to shortlist your courses with the help of our trusted AI Course Finder and select the respective Course.
- The next step is to gather and compile all your documents like SOPs, essays, certificates and LORs and exam scores like GMAT, GRE, IELTS, TOEFL etc.
- After submitting your application and all the necessary documents, the experts will then start with the application process for accommodation, Student Visa and scholarships/student loans.
- It’s now time to wait for your offer letter, which can take around 4-6 weeks or more.
BSc in Data Science: Career Prospects & Employment Areas
As Artificial Intelligence and Machine Learning are core concepts of Data Science, the technologies formed on their foundation are changing the world as we are witnessing in the contemporary times. For Data Science graduates, a multitude of prospects are available in both public and private sector especially in the IT and healthcare organisations where there is a constant need of those with a technical expertise to facilitate efficient and better technologies. Some of the major job profiles you can explore after complete your BSc in Data Science include:
| Job Profile Average Salary | |
| Data Architect 24 Lakh | |
| Data Scientist 10 Lakh | |
| Data Analyst/Manager 12 Lakh | |
| Business Intelligence Manager 17.1 Lakh | |
| Research Assistant 3.0 Lakh | |
| Statistician 4.96 Lakh | |
| Machine Learning Engineer 6.9 Lakh |
Other than this, some of the key employment areas for data science graduates include IT firms, business organisations, health centres, research and development institutions as well as consultancies and e-commerce businesses.
Must Read: MBA in Data Analytics
The average salary of a data scientist in India is 10 Lakh.
The following are the top reasons to pursue BSc Data Science:
Data science is a rapidly evolving field with an increase in demand for professionals
BSc in Data Science equips students with practical knowledge of statistical tools and develops a methodology of both theoretical and practical applications
Yale University, University of Michigan and Monash University are some of the most popular universities to pursue BSc Data Science.
Hence, Data Science is carving the future of technology and opting for a bachelor’s degree in this field, you can explore its applications as well as get a coherent understanding of what this popular domain is about. If you are aspiring to pursue a BSc in Data Science but don’t know which university to opt for, our Leverage Edu mentors are here to help you in picking a suitable academic institution as well as guiding you throughout the admission process thus to ensure that you get successfully shortlisted.
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