BCA Data Science is a 3-year course. It is a Data Science advanced course that provides students with in-depth knowledge of Data Science and software application topics. After graduates can work as Machine Learning Engineers, Data Scientists, Business Analysts, and other prestigious roles after completing the course.
BCA Data Science graduates get the opportunity to learn about a variety of topics, including Database Management Systems, Statistics and Probability, Machine Learning, and Big Data Analytics, among others. After completing the course, students may be able to find lucrative jobs as Machine Learning Engineers, Data Scientists, Business Analysts, and more.
Graduates in this sector have a lot of opportunities the course offers a wide range of jobs with good pay. The need for graduates in this profession has been steadily expanding over the last few years. Candidates who complete the BCA Data Science programme can find attractive and well-paying professions.
BCA Data Science Highlights
Course Level |
Graduate |
Duration |
3 years |
Examination Type |
Semesters |
Eligibility |
Passing standard 12th with a minimum of 45% marks and above from a recognized board. |
Admission Process |
Merit-Based |
Average Salary |
INR 3 to 15 lacs |
Top recruiting companies |
Education, Advertising Firms, Engineering Companies, Accounting |
Job Positions |
Accountants, Graphic Designers, Programmers, Computer Professors |
Eligibility Criteria for BCA Data Science
1. Applicant should have 12th in any discipline from a recognized board with minimum 50% marks or its equivalent CGPA.
2. Applicants should have a minimum of computer knowledge.
3. There is an age limit prescribed by a few institutes that provide part-time degrees.
4. According to some institutes, a candidate’s age should not be less than 17 years and not more than 27 years.
5. Candidates should have aggregate marks of 40% to 50% in the SC/ST/PWD.
Admission Process
1. Applicant on relevant entrance examinations determines admission to various universities and colleges.
2. Some private colleges and deemed universities perform their counselling process by conducting their university-level entrance exams.
3. Candidates who qualify for the test are called for an interview before the final seat allotment.
Career after BCA Data Science
This course opens you to a wide range of lucrative job opportunities and is in huge demand in industrial areas and is globally accepted. Students who earn a BCA in Data Science can pursue a variety of careers. There are a variety of opportunities available, including Machine Learning Engineer, Data Scientist, and Business Analyst.
Students can work in various job sectors after completing this course such as Data Scientist, Machine Learning Engineer, Business Analyst, and many more. The average salary can range between INR 4,00,000- INR 10,00,00. Some of the top recruiters are Amazon, IBM, Flipkart, Accenture, and more.
Job Profile |
Job Description |
Business Analyst |
They examine, analyse, and assess the company's business systems and client needs. They offer suggested solutions to the issues they've uncovered. When they get all the information and reports they need they compile and organise it. |
Data Scientist |
The role of a data scientist is to use machine learning technologies and data analytic abilities to find valuable information from a large amount of data. They improve data collection techniques to better suit the needs of the business. |
Statistician |
They are in charge of doing statistical analyses and interpretations in order to determine the relationship between various sources of information. For a wide range of initiatives, they also organise and advise appropriate data collection methods. |
Software Engineer |
Software engineers are in charge of creating software solutions based on the information requirements they've identified. After creating and implementing software solutions, they create information systems. |
BCA Data Science Syllabus
Big Data Analytics |
Python Programming |
Computer Networks |
Data Modelling and Visualisation |
Introduction to Data Mining |
Database Management |
Discrete Mathematics |
Statistics and Probability |
Machine Learning |
- |