B.Sc Data Science is a 3-year course in Computer Science. Data Science is a field of study that deals with the collection, analysis, and processing of various data or information to extract solutions. It deals with the understanding of many structured and unstructured data with specialized knowledge to get the required insights.
This Course is an interdisciplinary subject that uses the basic concepts of statistics, data analysis, machine learning, and related subjects to understand and analyze various problems and phenomena with respect to a large set of data. Includesncludes various theories, techniques and tools from mathematics, statistics, computer science and information technology.
B.Sc Data Science Highlights
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Course |
B.Sc Data Science |
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Duration |
3 years |
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Eligibility |
Completed Class 12 with Science from a recognized board |
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Admission Process |
Through Common Entrance Test (CET) conducted at University Level. |
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Exam Type |
Semester Wise |
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Average Starting Salary |
INR 5-7 LPA |
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Top Recruiting Companies |
Cartesian Consulting, Publicis Sapient, Tredence Inc., Wipro Ltd., Oracle, Accenture, MuSigma, IBM, Amazon, TEG Analytics, Deloitte, HCL, GlobalAnalytics, etc. |
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Top Job Positions |
Data Scientist, Business Analyst, Data Analyst, Data Engineer, Data Architect, Data Mining Engineer, Research Analyst, Business Intelligence Analyst, Analytics Manager and many more |
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Higher Education Opportunities |
MSc in Data Analytics, Software Engineering, Statistics, Cyber Security, etc. MBA in Business Analytics, E-Business, Data Analytics |
Eligibility Criteria for B.Sc Data Science
1. The students must have completed their 10+2 in science with recognised board or university.
2. Students should qualify and have scored 50% in marks in the examination.
3. Students with Mathematics / Statistics are preferred.
Admission Process
1. Admission to this course depends upon the college. Universities among others conduct Common Entrance Test (CET) for their admission process.
2. After this, a Personal Interview also takes place to know the interest and capability of the candidate.
Career after B.Sc Data Science
After completion of this course, you will be able to deal with large sets of data and you will become an expert in programming, machine learning, data wrangling, data intuition, software engineering, data visualization, etc.
Therefore, Data Scientists are coveted professionals in industries and sectors such as IT industries, Research institutions, Banking and Financial sector, Educational sector, Consulting firms, Pharmaceutical companies, and Automobile industries.
Furthermore, the students are also absorbed in research-oriented government and private industries, doctoral programmes in leading universities, as well as software-based companies. The national average salary of a Data Scientist is around INR 8.1 LPA, and with time, it can go upto INR 20 LPA within 5-10 years with enough experience.
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Job Position |
Description |
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Data Scientist |
A Data Scientist has a major role to play in a Business or solving a problem. Their main role is to provide insightful information and values from a certain set of data after carefully going through the major steps of data science, and suggesting solutions to those problems or doubts. |
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Process Analyst |
A process Analyst is an important part of the IT team where he/she analyze the business processes and workflows in order to understand the business pattern and make sure that how these can be automated or increased. |
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Data Solutions Analyst |
Data Solutions Analyst usually maintain client-specific data along with useful reports with respect to company policies and procedures. They gather and collect information from the clients, maintain the data warehouse, follow the automated report production process and provide recommendations in case of any negative outcome or result. |
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Business Analyst |
A Business Analyst is supposed to analyze the business-related data and provide help in decision making with respect to many new business trends from the technical point of view. |
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Statistical Analyst |
A Statistical Analyst is responsible for collecting, reviewing and extracting valuable information from the data which will further help Business Analysts and Data Scientists in the real-time decision-making process. |
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Web & Social Media Analyst |
Web & Social Media Analyst is responsible for the evaluation and analyzing user engagement with the help of various software and data structure tools. |
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CRM Analyst |
They are responsible for the evaluation of the client-related data provided internally or externally to know their behavior, their pattern and extracting insightful information from it which will help to maintain the relationship with clients by understanding their problem and resolving them on a macro scale. |
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Business Intelligence Analyst |
BI Analyst is responsible for transforming a large set of data into valuable information that will hold a business value. They analyze the latest trends and help make the business grow in a smarter and in a much efficient way. |
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Data Architect |
A Data Architect is responsible for everything about the company data. They maintain the solid structural database of the company containing all the necessary information. They create database solutions, evaluate requirements and prepare reports. |
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Data Mining Engineer |
Data Mining Engineer is responsible for creating and enhancing the statistical and predictive data and models and algorithms to analyze a large set of data. |
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Database Administrator |
A DB Administrator is responsible for planning, installing, designing, migrating, monitoring the data by using different softwares and tools. |
B.Sc Data Science Syllabus
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Semester I |
Semester II |
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Linear Algebra |
Probability and Inferential Statistics |
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Basic Statistics |
Discrete Mathematics |
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Programming in C |
Data Structures and Program Design in C |
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Communication Skill in English |
Computer Organization and Architecture |
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Programming in C Lab |
Data Warehousing and Multidimensional Modelling |
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Microsoft Excel Lab |
Data Structure Lab |
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Programming in R Lab |
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Semester III |
Semester IV |
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Object-Oriented Programming in Java |
Machine Learning I |
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Database Management Systems |
Cloud Computing |
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Operating Systems |
Data Warehousing and Multidimensional Modelling |
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Design and Analysis of Algorithms |
Operations Research and Optimization Techniques |
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Database Management Systems Lab |
Time Series Analysis |
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Object-Oriented Programming in Java Lab |
Machine Learning I Lab |
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Data Warehousing and Multidimensional Modelling Lab |
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Semester V |
Semester VI |
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Machine Learning II |
Elective I |
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Introduction to Artificial Intelligence |
Elective II |
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Big Data Analytics |
Grand Viva |
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Data Visualizations |
Major Project |
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Programming in Python Lab |
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Big Data Lab |
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Minor Project |
