B.Sc - CS (Data Science)
Overview:`
BSc Data Science is a 3 year full-time course that comes under the domains of Computer Science, Business Analytics and Artificial Intelligence. Data Science is an interdisciplinary subject that includes the use of Statistics, Big Data Analytics, Machine Learning and related aspects in order to understand the problem or phenomena with respect to a set of real-world data.
The B.Sc. Computer Science (Data Science)program equips graduates with the ability to analyze real-life problems scientifically, collaborating in multidisciplinary teams, and addressing challenges with an ethical mindset. Graduates will proficiently engage in system and application programming, applying computer system concepts, data structures, algorithms, and optimization techniques for effective problem-solving. The program empowers graduates to assess, design, propose, and develop analytical systems, enabling them to tackle real-world problems using computational knowledge. The future scope of the B.Sc.
The B.Sc. Computer Science (Data Science) This degree equips students with a solid foundation in forecasting, predictive modeling, and statistical fundamentals. The curriculum places a strong emphasis on the mathematical underpinnings essential for effective data analysis.
By offering exposure to a diverse range of industry-standard tools like NoSQL, Data Warehousing, PyTorch, Tableau, R, and Splunk, the program ensures that students gain practical skills that are directly applicable in real-world scenarios. Furthermore, the program delves deep into the realms of statistics and mathematical simulations, empowering students to excel in the dynamic field of predictive analytics and simulation work. These skills are not only in high demand across various industries but also play a pivotal role in shaping professionals capable of contributing to the creation of the Meta Verse.
B.Sc. Computer Science (Data Science) program is designed to provide students with a comprehensive education that combines theoretical knowledge with practical skills. The curriculum covers a wide array of topics, including forecasting, predictive modeling, statistical analysis, and the utilization of essential data science tools. By nurturing a strong foundation in both mathematical principles and industry-relevant applications, the program prepares students to meet the demands of the rapidly evolving field of data science and predictive analytics, while also fostering their potential to contribute to cutting-edge developments such as Meta Verse technology.
Some of the highlights of B.Sc - CS (Data Science
| Name Of The Course | B.Sc - CS (Data Science) |
| Full Form | Bachelor of Science in Computer Science(Data Science) |
| Level | Undergraduate |
| Duration | 3 Years |
| Examination Type | Semester |
| Eligibility | Completed Class 12 with Science from a recognized board |
| Admission Process | Through Common Entrance Test (CET) conducted at University Level. |
| Entrance Exams | |
| Average Course Fees | ₹ 40 K To ₹ 2.5 L |
| Average Annual Salary | ₹ 4.0 LPA To ₹ 5.0 LPA |
| Job Profiles/Roles | Data Scientist, Business Analyst, Data Analyst, Data Engineer, Data Architect |
| Top Recruiters | Cartesian Consulting, Publicis Sapient, Tredence Inc., Wipro Ltd., Oracle, Accenture, MuSigma, IBM, Amazon, TEG Analytics, Deloitte, HCL, GlobalAnalytics, etc. |
| Job/Recruitment Areas | Data Mining Engineer, Research Analyst, Business Intelligence Analyst, Analytics Manager and many more |
Top Colleges Offering B.Sc - CS (Data Science):
- Sathyabama Institute of Science and Technolog
- SRI Ramachandra Medical College Chennai
- IIT Madras
- Loyola Academy
- Rathinam College Of Arts And Science
- Coimbatore Institute of Technology
- SRM Institute of Science and Technology
- Amity University
- Amet University
Why study BSc Data Science:
If you are genuinely interested to study Data Science and its various aspects, then BSc Data Science is a perfect course for you.
Skills and Knowledge:
This course imparts the skills required to study, analyze and predict solutions across various sectors like manufacturing, healthcare, banking, finance, marketing, business strategies, etc.
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.
Core programming languages include Java, SQL, Python, R, SAS, Scala, Julia, MATLAB, along with the knowledge of Tableau, Hadoop, and other tools.
Huge Demand:
As stated earlier also, data science is one of the trendiest jobs across the globe in terms of future scope and career stability.
Currently, there are more than 2 Lakhs job openings related to this field of study. It is estimated that there will be an increase of at least 40-45% each year in job opportunities in this domain.
After US, India is next into becoming the analytics hub of the world with over
Salary:
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.
The minimum percentage hike for professionals in data science domain is at least 30-40% and it can go as high as 60-70% in well-reputed companies such as Amazon, Deloitte, Publicis Sapient, Cognizant, and others.
Admission Proceduer For B.Sc - CS (Data Science)
Admission to this course depends upon the college. Some colleges like Sri Sri University, AMET University, Jain University among others conduct Common Entrance Test (CET) for their admission process. This is followed by a Personal Interview which is conducted to know the interest and capability of the candidate.
While some Colleges such as Navrachna University, NSHM- Knowledge Campus, etc. take admission on the basis of merit (Class XII marks) and the performance in the Written Test or Personal Interview.
Eligibility For B.Sc - CS (Data Science):
Interested students must meet the following minimum eligibility criteria for B.Sc. Computer Science (Data Science):
- Students must have completed Class 12 with Science stream
- A minimum of 50% marks in class X and XII with Mathematics / Computer Science / Information Technology as one of the major Subject in Class XII.
- Students must be above 17 years of age at the time of admission.
B.Sc - CS (Data Science) Career Opportunities:
The B.Sc. Computer Science (Data Science) program equips graduates with a diverse skill set tailored for a range of industry roles. Graduates can pursue positions such as:
Data Analyst
Software Programmer
Business Analyst
Data Architect
Statistician
Automation Engineer
Data Engineer
Simulation Architect.
This comprehensive program provides a strong foundation in data science, enabling graduates to excel in various sectors requiring data-driven decision-making and technical expertise. Whether analyzing data, developing software solutions, or designing simulations, graduates are well-prepared to contribute effectively to the evolving landscape of technology and data-driven industries.
Salary:
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.The minimum percentage hike for professionals in data science domain is at least 30%-40% and it can go as high as 60%-70% in well-reputed companies such as:
Amazon
Deloitte
Publicis Sapient
Cognizant
Microsoft
Tech Mahindra
IBM
Infosys
TCS
B.Sc - CS (Data Science) Syllabus:
Semester I
Linear Algebra
Basic Statistics
Programming in C
Communication Skill in English
Programming in C Lab
Microsoft Excel Lab
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Semester II
Probability and Inferential Statistics
Discrete Mathematics
Data Structures and Program Design in C
Computer Organization and Architecture
Data Warehousing and Multidimensional Modelling
Data Structure Lab
Programming in R Lab
Semester III
Object-Oriented Programming in Java
Database Management Systems
Operating Systems
Design and Analysis of Algorithms
Database Management Systems Lab
Object-Oriented Programming in Java Lab
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Semester IV
Machine Learning I
Cloud Computing
Data Warehousing and Multidimensional Modelling
Operations Research and Optimization Techniques
Time Series Analysis
Machine Learning I Lab
Data Warehousing and Multidimensional Modelling Lab
Semester V
Machine Learning II
Introduction to Artificial Intelligence
Big Data Analytics
Data Visualizations
Programming in Python Lab -
Big Data Lab-
Minor Project-
Semester VI
Elective I
Elective II
Grand Viva
Major Project
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