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BSc in Data Science is an undergraduate degree programme that provides students with knowledge of the tools they need to understand insights and information from vast amounts of data. Data Science in the undergraduate programme is a multidisciplinary area that combines various subjects like mathematics, statistics, and computer science.
BSc Data Science course curriculum offers a thorough understanding of statistical analysis, machine learning methods, data visualisation techniques, and programming languages like Python and R. This course provides the real-world experience to the students. Students gather, clean, analyse, and interpret data to produce accurate findings.
In order to pursue a Bachelor of Science in Data Science degree, some universities require students to have studied Mathematics in Class 12. The programme is offered by prestigious universities like SPJIMR, NMIMS, The NorthCap University and Navrachana University.
Particular | Values |
---|---|
Course Name | BSc Data Science |
Course Duration | 3-4 years |
Eligibility Criteria | Passed 10+2 examination from a recognized board with an overall aggregate of minimum 50 per cent |
Admission Process | Merit-Based |
Average Salary | Rs. 10.5 Lakhs |
Course Fee | Rs. 2 - 4.5 Lakhs |
Top Recruiters | Google, Microsoft, Amazon, Flipkart, McKinsey & Company, Bain & Company, Boston Consulting Group (BCG), HSBC, J P Morgan Chase, Goldman Sachs, Amazon, Myntra |
Job Positions | Data Analyst, Data Engineer, Business Intelligence Specialist, Data Visualization Expert, Data Scientist |
60+ Years of Education Legacy | UGC & AICTE Approved | NAAC A+ Grade | Scholarship Worth 6 Crores
The eligibility criteria for BSc in Data Science varies depending on the institution. In order to eligible for BSc in Data Science course, candidates must fulfil the following requirements:
BSc in Data Science admission process is based on various steps that are used to evaluate the merit of the candidate. The admission process for the BSc Data Science course are listed below:
BSc Data Science course requires a number of fundamental skills. This degree develops a combination of analytical and technical abilities. The following are the major skills required to succeed in this course:
The BSc Data Science course prepares candidates for various job roles in different sectors. In the table below, we have provided the syllabus for the BSc in Data Science as per KJC Bangalore.
Semester 1 | |
Mathematical Foundation for Data Science | Computing and Programming Fundamentals |
Programming in C | Programming in C Practical |
Semester 2 | |
Basic Statistical Analysis using R | Operating System and Networks |
Data Structures | - |
Semester 3 | |
Linear Algebra | OOPs with Java |
OOPs with Java Practical | Data Warehousing and Data Mining |
Semester 4 | |
Probability and Inferential Statistics | Probability and Inferential Statistics Practical |
Foundation of Data Science | RDBMS |
RDBMS Practical | - |
Semester 5 | |
Big Data Analytics | Big Data Analytics Practical |
Python Programming | Machine Learning |
Machine Learning Tool Practical | Modern Databases |
Data Analysis Tools Practical | - |
Semester 6 | |
Data Visualization | Data Visualization Practical |
Cloud Computing | Cloud Computing Practical |
Artificial Neural Networks | Digital Analytics |
Project | - |
The fee structure for the Bachelor of Science in Data Science varies among institutions and can range from Rs. 2,00,000 to Rs. 4,50,000 for institutions. Additionally, there are potential additional costs such as accommodation and other related expenses. Few colleges offer scholarship programmes to students based on multiple parameters, such as merit, and annual income of the family.
BSc in Data Science opens up a world of possibilities. It prepares students to be data detectives by teaching them how to mine massive volumes of data for insightful information using machine learning, statistics, and programming. With this adaptable degree, you can prepare for a variety of fascinating occupations in cutting-edge disciplines including artificial intelligence as well as data analysis and business intelligence.
There are various opportunities after completing a BSc in Data Science. Candidates can select from a variety of employment profiles, ranging from offers from global corporations to startups. Below is a summary of some common job profiles that they can go for:
Data Analyst: A Data analyst uses his/her technological know-how and analytical abilities to clean, analyse, and interpret data, bridging the gap between it and actionable insights. Their conclusions guide corporate choices, streamline procedures, and eventually lead to expansion.
Data Scientist: A data scientist is an investigator who uses data to solve problems. They employ machine learning, statistics, and programming to form insights from enormous datasets. These insights influence scientific breakthroughs, product development, and business decisions.
Business Intelligence Specialist: A Business intelligence professional finds trends and patterns, and collects, examines, and evaluates data. Better business decisions are then derived from these insights in the form of recommendations.
Data Engineer: Data engineer designs, constructs and maintains massive dataset collection, storing, and processing systems. Their efforts guarantee efficient data flow for numerous domains' analysis and application.
Data Visualization Specialist: A specialist in data visualisation creates comprehensible, eye-catching images from complex data sets. They develop charts, graphs, and infographics that successfully communicate insights to a wide audience by utilising design principles and storytelling strategies.
BSc Data Science graduates can pursue careers in various sectors. Some major companies that employ BSc Data Science graduates are listed below:
Salary of candidates after Bachelor of Science in Data Science can be computed based on the candidate's skills, location of employment, and job profile. The starting wage is smaller, but as the individual learns and develops experience, the salary improves.
Job Profile | Average Salary |
---|---|
Data Analyst | Rs. 6.4 LPA |
Data Scientist | Rs. 14.4 LPA |
Business Intelligence Specialist | Rs. 14 LPA |
Data Engineer | Rs. 10.8 LPA |
Data Visualisation Specialist | Rs. 8 LPA |
BSc Data Science course provides the knowledge of various tools required to extract insightful information from large datasets. Graduates are able to extract insights from multiple data sets after completing statistical analysis, machine learning, and programming languages. Graduates get significant advantages in a job market that is rapidly evolving.
Several Indian universities provide BSc Data Science Courses. Bachelor of Science in Data Science institutions provide numerous benefits. Some of India's leading institutions that provide a BSc Data Science include:
Colleges | Fees |
---|---|
Rs. 4.32 Lakhs | |
Rs. 2.59 Lakhs | |
Rs. 3.75 Lakhs | |
Rs. 3.24 Lakhs | |
Rs. 2.10 Lakhs | |
- | |
Rs. 3.60 Lakhs |
Compared to government colleges, private colleges are expensive to attend. Top private college that offer BSc Data Science with its respective fees is mentioned in the following table:
Colleges | Fees |
---|---|
The Northcap University, Gurugram | Rs. 4.32 Lakhs |
JSPM University, Pune | Rs. 2.59 Lakhs |
KR Mangalam University, Gurugram | Rs. 3.75 Lakhs |
Navrachana University, Vadodara | Rs. 3.24 Lakhs |
SSPU, Pune | Rs. 2.10 Lakhs |
SP Jain School of Global Management, Mumbai | - |
NMIMS, Mumbai | Rs. 3.60 Lakhs |
BSc in Data Science gives students the tools they need to learn and form insights and information from enormous amounts of data. It uses data from the actual world to answer complicated issues by combining computer science, statistics, and mathematics.
A combination of analytical and technical abilities are developed in the programme. Students improve their critical thinking, problem-solving, and communication abilities.
Graduates can work in business intelligence, machine learning, data science, data analysis, and other fields.
IT companies like Google, Amazon, and Microsoft, consulting houses like McKinsey & Company, Bain & Co, and start-ups in a variety of sectors are among the top recruiters.
The starting salary in India is between Rs. 9 lakhs and Rs. 10.5 lakhs annually. This improves with time and as experience is gained by the graduates.
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2025 exam date: May 27, 2025.
Applications start in April 2025.
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