A Bachelor of Computer Applications (BCA) in Data Science is a three-year undergraduate degree programme that combines computer science with data science subjects. Today, every company is highly dependent on using data to make important decisions, which has increased the demand for skilled professionals in this field.
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- BCA in Data Science Course Details
- BCA in Data Science Eligibility Criteria
- BCA in Data Science Entrance Exams
- BCA in Data Science Syllabus
- BCA in Data Science Fees
- BCA in Data Science Career Opportunities
- BCA in Data Science Salary Prospects
- BCA in Data Science Private Colleges
- BCA in Data Science Government Colleges
BCA in Data Science
A BCA in Data Science teaches students about data analysis, programming, and machine learning, which helps students develop skills in handling large datasets, data visualisation, and predictive modelling. The programme covers topics such as Python programming, database management, and statistics, and prepares students for jobs such as data analyst, data scientist, and data engineer.
BCA in Data Science helps students work with, create visual reports, and make predictions by using data. With the help of this course, students will know how to use advanced tools and techniques to solve data problems easily. Students can study deeply in data science, by doing an MCA (Master of Computer Applications) or getting professional certifications in data science.
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To get admission into a BCA in Data Science course, students must have completed their 10+2 (higher secondary) education from any recognised board (mainly in the science stream) with a minimum of 50 per cent. Some universities conduct entrance exams, like CUET, SET, and IPU CET, while others offer admission based on merit.
BCA in Data Science Course Details
This section will give an overview of the BCA in Data Science programme, which covers important details such as course duration, eligibility, fee structure, admission process, entrance exams, career opportunities, and top recruiters. It helps a student understand the course and decide before applying.
| Particulars | Details |
|---|
| Course Duration | 3 years |
| BCA in Data Science Eligibility Criteria | 10+2 in any stream (preferably with science) from any recognised board with at least 45-50 per cent marks |
| BCA in Data Science Fee Structure | Rs.40,000 – Rs.10 Lakhs (varies by institution) |
| BCA in Data Science Admission Process | Merit-based or Entrance Exam |
| BCA in Data Science Entrance Exams | CUET, SET, IPU CET, and university-specific tests |
| BCA in Data Science Job Roles | Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, Data Scientist, Data Engineer |
| BCA in Data Science Top Recruiters | Google, Microsoft, TCS, Wipro, Infosys, Accenture, IBM, Amazon |
BCA in Data Science Eligibility Criteria
Candidates who want admission in BCA in Data Science, must meet the certain eligibility requirements defined by universities. They should have completed their 10+2 higher secondary education, (mainly in the science stream) from any recognised board with a minimum of 45-50 per cent. Some institutions may have a higher minimum percentage requirement.
They also require students to qualify for an entrance exam or attend a personal interview or group discussion for admission.
| Eligibility Criteria | Details |
|---|
| Educational Qualification | 10+2 in any stream (preferably with science) from any recognised board |
| Minimum Aggregate Score | 45-50 per cent, 5 per cent relaxation for reserved categories as per university norms |
| Entrance Exams/Portfolio | CUET, SET, IPU CET, and Some institutes may require GD, PI and Portfolio |
BCA in Data Science Admission Process
Candidates pursuing a BCA in Data Science need to follow the admission process, which is fixed by the institution. The basic eligibility requirement is to have completed 10+2 education with a minimum of 50 per cent marks. Some colleges may require students to qualify for entrance exams. Below are the general steps for admission:
- A candidate must have a 10+2 higher secondary education, from any recognised board.
- Some institutions may have a higher minimum percentage requirement, usually it's 45-50 per cent, and 5 per cent relaxation for reserved categories.
- A student may need to qualify for entrance exams such as CUET, SET, or university-specific tests for admission.
- Institutes will shortlist candidates based on entrance exam performance.
- Some colleges may conduct personal interviews or counselling sessions before final selection.
- The final list of selected candidates is released by the institute.
- A selected candidate must complete the enrolment process and pay the required admission fee.
BCA in Data Science Entrance Exams
To secure admission into a BCA in Data Science programme, a candidate needs to qualify for an entrance exam with a required score. These entrance exams are computer-based, which assess students' mathematical ability, logical reasoning, problem-solving skills, and general awareness. Some institutes also conduct personal interviews or skill-based assessments before final selection.
BCA in Data Science Syllabus
The BCA in Data Science programme helps students learn the basics of computer science, programming, and data analysis. The syllabus includes subjects like programming languages, databases, machine learning, and cloud computing, preparing students for careers in data science and technology. This syllabus is from Presidency University, Bangalore.
BCA in Data Science 1st Syllabus
In the first year, students will cover the basics of programming, mathematics, and computers. Students will learn coding languages such as C and Python, which are important in computer applications. They also study data structures, operating systems, and computer networks.
| Semester-I | Semester-II |
|---|
| Applied Mathematics | Statistical Methods and Techniques |
| Digital Computer Fundamentals | Programming in Python |
| Fundamentals of Data Science | Data Structures and Algorithms |
| Problem-Solving using C | Operating Systems and Unix Programming |
| Web Design and Development | Computer Networks |
| Communicative English | Technical Written Communication |
| Introduction to Soft Skills | Employability for Young Professionals |
BCA in Data Science 2nd Syllabus
In the second year, students will study advanced programming and data science concepts. They will learn Java, R programming, and machine learning. Subjects like artificial intelligence, data visualisation, and data mining help them understand how to work with large amounts of data.
| Semester-III | Semester-IV |
|---|
| Relational Database Management Systems | R Programming for Data Science |
| Fundamentals of Software Engineering | Android Mobile Application Development |
| Data Modelling and Visualisation | Data Warehousing and Data Mining |
| Object Oriented Programming using Java | Machine Learning Algorithms |
| Artificial Intelligence | Capstone Project |
| Being Corporate Ready | Problem Solving through Aptitude |
| Environmental Studies and Sustainable Development | - |
BCA in Data Science 3rd Syllabus
In the final year, students will focus on specialised subjects like deep learning, big data analytics, and cloud computing. Students also gain hands-on experience with internships and projects. The final year will prepare them for career opportunities in data science.
| Semester-V | Semester-VI |
|---|
| Deep Learning | Computer Vision |
| Big Data Analytics | Pattern Recognition |
| Internet of Things | Internship |
| Natural Language Processing | - |
| Essentials of Cloud Computing | - |
Note: Students may find elective courses in the syllabus, but they are not mentioned in this article. Colleges may offer different electives based on their curriculum.
BCA in Data Science Fees
The BCA in Data Science programme fee depends on the institution. Candidates should check the college's official website for exact details, or they can check with the providers. On average, the course fee ranges from Rs.40,000 Lakhs to Rs.20 Lakhs. Private universities generally charge higher fees as compared to government institutions.
BCA in Data Science Career Opportunities
A BCA in Data Science builds a strong foundation for students' careers in technology, finance, healthcare, retail, and e-commerce. Companies look for professionals who can explain data, build predictive models, and provide deep insights to guide business decisions. Here are some key roles in data science:
- Data Analyst – A data analyst's work is to collect and operate data to identify trends and patterns. They use tools like SQL, Python, and Excel to create detailed reports that help a business to improve its performance and make strategic decisions that will be beneficial for the company. A data analyst also predicts future trends and improves business efficiency through data-driven insights.
- Machine Learning Engineer– A machine learning engineer can develop and modify machine learning models. They work with AI algorithms, neural networks, and data processing methods to create intelligent systems that are used in finance, healthcare, and the automation industry. A machine learning engineer also tests models for accuracy and improves them based on practical data.
- Business Intelligence Analyst – A business intelligence analyst creates reports and dashboards by using tools like Tableau and Power BI. They can analyse market trends and customer behaviour, and help businesses make data-driven decisions. A business intelligence analyst also identifies key performance indicators and easily presents data.
- Data Engineer – A data engineer's work is to design and maintain data pipelines, cloud storage, and databases. Their role is to ensure that data is efficiently collected, processed, and stored for analysis. A data engineer also improves database performance and ensures data security for smooth business operations.
- Software Developer– A software developer with a background in data science builds applications that process and analyse data. They create tools for automation, predictive analytics, and AI-based solutions. A software developer also improves data processing speed and integrates AI features into software applications.
- Data Scientist – A data scientist analyses large datasets to gather insights and solve complex problems. Using machine learning, statistical models, and programming languages like Python and SQL, they can develop innovative solutions in industries like healthcare, finance, and technology. A data scientist also improves data quality and builds predictive models for future trends.
BCA in Data Science Top Recruiters
Some of the leading companies hiring BCA in Data Science graduates include:
- Google
- Amazon
- TCS
- Infosys
- Wipro
- Accenture
- IBM
- HCL Technologies
- Capgemini
BCA in Data Science Benefits
A BCA in Data Science helps students build strong skills in data analytics, programming, and machine learning. The course provides hands-on experience with real-world data and tools used in the industry. It prepares students for careers in data-driven decision-making, business intelligence, and artificial intelligence, making them valuable assets in today’s job market.
BCA in Data Science Salary Prospects
BCA in Data Science graduates can get good job opportunities with good salaries. The pay depends on the job role, experience, and company. Freshers start with decent packages, and with experience, they can earn more. Data science is in demand, so there are many chances for career growth in different industries.
| Job Role | Average Salary Range (Per Year) |
|---|
| Data Scientist | Rs. 3.8 LPA –15 LPA |
| Data Analyst | Rs. 8 LPA –12.5 LPA |
| Machine Learning Engineer | Rs. 3 LPA –20 LPA |
| Business Intelligence Analyst | Rs. 3.2 LPA –18 LPA |
| Software Developer | Rs. 2 LPA –15.5 LPA |
Source: AmbitionBox
BCA in Data Science Private Colleges
Many private colleges in India offer BCA in Data Science with good facilities and industry-focused learning and also provide modern labs, experienced professors, and practical training in data science. The course fees vary based on the college. Here are some private institutes in India along with fee structure:
| College Name | Fees |
|---|
| KL University Guntur - Koneru Lakshmaiah Education Foundation, Guntur | Rs.6.30 Lakhs |
| Presidency University, Bangalore | Rs.4.50 Lakhs |
| Sapthagiri NPS University, Bengaluru | Rs.3.45 Lakhs |
| School of Computer Applications, Manav Rachna International Institute of Research and Studies, Faridabad | Rs.6.84 Lakhs |
| Sanskriti University, Mathura | Rs.3.30 Lakhs |
| SAGE University, Indore | Rs.3 Lakhs |
| Parishkar College of Global Excellence, Jaipur | Rs.1.66 Lakhs |
| NGF College of Engineering and Technology, Palwal | Rs.1.80 Lakhs |
| Maya Devi University, Dehradun | Rs.2.11 Lakhs |
| Chandigarh University, Uttar Pradesh Campus | Rs.6 Lakhs |
BCA in Data Science Government Colleges
Government colleges offering BCA in Data Science will provide quality education for students at a lower fee as compared to private institutions. Government colleges have experienced professors, good infrastructure, and a focus on practical learning. Many government colleges also offer scholarships and placement support for students.
BCA in Data Science helps students learn coding, data analysis, and machine learning, leading to many job opportunities. With the rising demand for data experts, graduates can build a strong career in technology and analytics.