BSc Data Science

BSc Data Science is a three-year full-time undergraduate programme that includes Computer Science, Artificial Intelligence, and Business Analytics concepts. It is a specialised course focused on bag data analytics, statistics, as well as machine learning. BSc Data Science syllabus include Cloud Computing, Data Visualisations, Cloud Computing, Operating Systems, and Python Programming, among others. Moreover, BSc Data Science covers important Mathematical and Statistical principles, providing students with a solid quantitative foundation. Furthermore, BSc Data Science core fundamentals and programming languages such as Python or R are introduced to provide a solid foundation in coding and algorithmic thinking.

The BSc Data Science course teaches students how to clean and preprocess data, conduct exploratory data analysis (EDA), and create visually appealing visualisations. These skills are essential for turning raw data into actionable insights. The BSc in Data Science subjects also includes supervised and unsupervised learning techniques, model evaluation, and selection. If you have a strong grasp or basic knowledge of any programming language, it will be extremely beneficial to you in this course.

To be eligible for BSc Data Science, candidates must have passed their 12th in Science from a recognised board with a minimum of 50% marks with Physics, Chemistry and Maths. Admission to BSc Data Science is available based on both merit and entrance exam. BSc Data Science course fees vary from institution to institution and generally range between 60K - 6L. Graduates will have various career and job opportunities available after completing the BSc Data Science course like Data Scientist, Data Engineer, Data Analysts etc. The average BSc Data Science salary for a graduate ranges between INR 3 - 7 LPA which increases with experience.

The BSc Data Science course highlights are shown in the table below:

The following are some key reasons why a candidate should pursue a BSc in Data Science:

High Demand: Data science is becoming an important part in a variety of industries. Organisations are turning to data scientists to help them make sense of the increasing amount of data generated and collected. 

High Pay: Data scientists are one of the highest-paid professionals in their field. Data scientists' salaries are typically higher than those of other IT professionals which increases with experience.

Multidisciplinary Field: Data science is an interdisciplinary field that includes concepts and abilities from several other fields, such as Business, Computer Science, Statistics, and Statistics.

Many Career Paths: Data science provides numerous opportunities for advancement. Some Data Scientists work as Analysts, while others can advance to Management or Leadership positions in the field.

Impactful Job: Working in data science is both challenging and rewarding. Candidates will. be solving complex problems and have a significant impact on businesses and society.

Learning Opportunities and Growth: Data science is a constantly evolving field with new technologies and methodologies coming all the time. This means there is always room for growth in a candidates' career. 

An online Bachelor of Science (BSc) in Data Science degree is an undergraduate programme that teaches and trains students in the field of data science via online platforms. This means that students can complete coursework, lectures, and assignments through the internet, giving them greater flexibility in terms of location and schedule. Online BSc Data Science programmes are designed to provide the same high-quality education as on-campus counterparts, ensuring that students develop the skills and knowledge needed to pursue careers in the rapidly evolving field of Data Science.

Virtual Learning Environment: Courses are delivered via a virtual learning platform, where students can access lectures, assignments, readings, and discussion forums.

Evaluation and Assessments: Quizzes, exams, projects, and collaborative assignments are common forms of assessment and evaluation. The assessments check students' comprehension and application of data science concepts.

Interactive Content: A variety of multimedia content, such as Video Lectures, Interactive Simulations, and Virtual Labs, is often used in online programmes.

Opportunities for Networking: Some online programmes facilitate networking opportunities through virtual events, discussion forums, and group project collaboration, allowing students to connect with peers and professionals in the field.

Here are some of the popular Data Science Specialisations listed below:

• Business Analytics and Intelligence
• Data Science With a Computational Track
• Data Engineering and Warehousing
• Database Management and Architecture
• Data Mining and Statistical Analysis
• Machine Learning
• Managerial Data Science

All candidates must check the BSc Data Science eligibility criteria before pursuing this course. Following points will describe the complete BSc Data Science eligibility criteria:

• Candidates must have completed their 12th class from a recognised board
• They must have a minimum of 50% marks in class 12th.
• Candidates must be from the science stream, with Physics, Chemistry and Maths as core subjects. 
• Candidates who have computer science as an additional subject will have advantage.
• All candidates must be qualified by passing the relevant entrance exams in order to be admitted to their preferred college or university.
• Candidates must be at least 17 years old.
• Students must meet the minimum data science course eligibility requirements before enrolling in Data Science courses at prestigious universities.

Skills Required for BSc Data Science

All candidates must have a foundational set of skills and attributes in order to successfully pursue BSc Data Science. The following skills can help candidates to excel in BSc Data Science:

• Mathematical and Statistical Proficiency
• Programming Skills
• Analytical Thinking
• Curiosity and Inquisitiveness
• Problem-Solving Skills
• Attention to Detail
• Communication Skills
• Self-Motivation and Discipline
• Basic Database Knowledge
• Interest in Technology and Tools
• Ethical Awareness
• Collaboration and Teamwork
• Adaptability
• Preparation in Domain Knowledge

BSc Data Science admission is done through entrance examinations or through the merit score of the previous qualifying examination in some colleges.

Following is the step by step BSc Data Science admission process in India:

Step 1: The candidate must pass the entrance exam as specified by the college.

Step 2: Download the application form from the college's official website or from the college directly.

Step 3: The candidate will be called for a personal interview based on the college admission criteria and the student's entrance exam score.

Step 4: After selection, the candidate will receive an email or letter to confirm the admission.

Step 5: Now candidates have to pay the admission fees and submit documents for verification.

BSc Data Science admission process without entrance exam is provided by some educational institutions in India. These institutions have some other criteria for BSc Data Science admission. The admission is provided on the basis of marks scored by the candidate in 12th class. Seats are then provided according to that institution's cutoff.

BSc Data Science admissions are provided on the basis of marks scored by the candidates in various exams. Following is the list of BSc Data Science Entrance Exams:

SET: The SET exam is administered at the state level, which means that passing it qualifies you for the position of Assistant Professor in colleges and universities within that state.

CUET: The Central University Entrance Test (CUET) for admission to various programmes at participating Central Universities will provide students with a single window opportunity to seek admission IN courses like BSc Data Science at these participating Universities / Institute(s) across the country.

BSc Data Science is a three year programme and is divided into six semesters. The BSc Data Science syllabus varies slightly depending on the institution, the core topics and a strong focus on practical skills remain clear throughout the BSc in Data Science course. BSc Data Science first year syllabus focuses on fundamental principles in data science, the second year on practical applications, and the third year on advanced topics and a hands-on project for specialised skill development. 

BSc Data Science First Year Syllabus

The first year of the BSc Data Science programme introduces students to the fundamental principles of data science, including statistics, programming as well as data structure fundamentals. Following table shows the BSc Data Science 1st year syllabus:

BSc Data Science Second Year Syllabus

The second year of the BSc Data Science syllabus consists of topics such as machine learning, business analytics, data management and  learning Python and R. Following table shows the BSc Data Science 2nd year syllabus:

BSc Data Science Third Year Syllabus

The third year focuses on advanced data science topics such as big data analytics, deep learning, and natural language processing. Students also work on a substantial project that allows them to put their knowledge to use. Following table shows the BSc Data Science 3rd year syllabus:

BSc Data Science subjects include Data Analysis and Visualisation, Machine Learning, Linear Algebra, Probability, Python/R Programming, C Programming, Data Structures, and Analytics. Students can also select elective BSc Data Science subjects based on their interests, such as Logistics Analytics, Time Series Analysis, Deep Learning, Social Network Analysis, and others.

BSc Data Science Core Subjects

The core subjects of the BSc Data Science provide students with the foundational knowledge and skills required for a thorough understanding of Data Science.

• Data Structures and Algorithm
• Data Privacy and Security
• Programming
• Statistics for Data Science
• Data Handling and Visualization
• Mathematics for Data Science
• Database Management
• Python, Java, C, R
• Deep Learning
• Big Data Analytics

BSc Data Science Elective Subjects

Elective BSc Data Science subjects allow students to customise their education based on personal interests, the possibility of advanced study, and a variety of career options in the field of Data Science.

• Social Network Analytics
• Time Series Analysis
• Information Retrieval and Processing 
• Predictive Modelling and Analytics
• Conditional Monitoring Techniques for Data Science
• Social Network Analytics
• Tensor Flow
• Operating System

BSc in Data Science is one of the most popular courses in India. It can be pursued full-time or via distance learning, depending on the candidate's choice. Following are the types of BSc Data Science:

The difference between BSc Data Science and BCA Data Science is tabulated below:

The difference between BSc Data Science and BTech Data Science is tabulated below:

Following table shows the top BSc Data Science Colleges in India:

Following table consists NIRF ranked top BSc Data Science Colleges in India: 

Following table consists top private BSc Data Science Colleges in India: 

Following table consists top Government BSc Data Science Colleges in India: 

The course fees for a BSc in Data Science range from INR 60K to INR 6 LPA. Various colleges in India take different BSc Data Science course fees. The top BSc Data Science colleges in India, however, are IIT Madras, IIT Hyderabad, and Narsee Monjee, with average fees ranging from INR 1.50 to INR 2.05 LPA.

Data science is a broad subject that includes sub-domains such as Machine Learning (ML) and deep learning, as well as partner domains such as Artificial Intelligence (AI). As a result, there are numerous job opportunities in this field. Following table shows the best career options after BSc Data Science along with their average salaries and top recruiting companies.

BSc Data Science Salary 

BSc Data Science average salary for a graduate ranges between INR 3 - 7 LPA. However, with experience the highest salary for data architects can go up to INR 10-15 LPA.

BSc Data Science Recruiters

There are lots of companies which are famous for hiring BSc Data Science candidates. Following is the list of the top BSc Data Science Recruiters in India:

BSc Data Science Employment Areas

BSc Data Science opens up a wide range of job opportunities in a variety of industries. Following are the examples of some of BSc Data Science employment areas:

• Technology and IT Companies
• Banks
• Investment firms
• Healthcare
• E-commerce and Retail
• Telecommunications
• Manufacturing and Supply Chain
• Government and Public Sector
• Marketing and Advertising
• Consulting Firms
• Education and Research Institutions
• Pharmaceutical and Biotechnology
• Media and Entertainment