B.C.A. in Data Analytics is a 3-year undergraduate course in computer applications. The program has been designed to offer to eligible candidates a combination of technical and managerial coursework needed for dealing with future challenges in the technology and data-driven global environment.
Know More About Data Analytics Course
Data Analytics finds application across a range of areas, such as taking care of complex business issues, expanding efficiencies in hospital and medical centers, and recreating sporting challenges.
The coursework includes components like optimization, computer simulation, decision analysis, statistics, predictive modelling, data mining and visualization, applied probabilistic modelling, artificial intelligence, applications in finance, marketing, supply chain, information systems and economics using these tools.
The basic eligibility criterion for pursuing the course is a 10+2 or equivalent qualification in any stream from a recognized educational Board, with a minimum aggregate score of 50%.
Such graduates are hired in capacities such as:
- Data Scientist
- Health Care Analyst
- Statistician
- Business Analyst
- Data Analyst
- Data Scientist
- Market Research Analyst
- Technical Team Leader
- Big Data Analyst
- Predictive Modeler
- Quantitative Analyst
- Project Manager
- Market Research Analyst
- Computer Systems Analyst
- Technical Team Leader, etc.
Some of the top entrance tests conducted in India for admission to the course are:
- IPU CET BCA
- KIITEE BCA
- LUCSAT BCA
- PESSAT.
- CMR University Admission Test (CMRUAT).
The course is offered at leading Indian institutes such as:
- SRM University, Kattankulathur Campus
- Xavier's Institute of Computer Application
- DAV College, Chandigarh.
The average tuition fee charged for the course in India ranges between INR 5,000 and 5 Lacs for a span of 3 years.
Successful graduates of the course can expect anything between INR 3 to 20 lacs as annual salary in the industry, increasing with experience and skillset.
B.C.A. in Data Analytics: Course Highlights
Listed below are some of the major highlights of the course:
| Course Level | Graduation |
| Duration | 3 years |
| Examination Type | Semester System/Year wise |
| Eligibility | 10+2, preferably with Commerce subjects, with a minimum aggregate score of 50%. |
| Admission Process | Merit-based/ Based on counselling after qualification of entrance test. |
| Course Fee | INR 5,000 to 5 Lakhs |
| Average Starting Salary | INR 3 to 20 lakhs per annum |
| Top Recruiting Companies | HDFC Bank, Google, ICICI Bank, LinkedIn, Yes Bank, Oracle, IBM, McKinsey and Company, Boston Consulting Group, Morgan Stanley, Microsoft, KPMG, Deloitte, Accenture, Reliance, HCL, Wipro, Infosys, Adani Group, Larsen and Toubro (L&T), Tata Group, Google, Facebook, American Express, Capital IQ, Amazon, Infosys, Airtel, Idea, Reliance, BSNL, Tata Consultancy, Tata Motors, Bajaj, Hyundai, etc. |
| Top Recruiting Areas | Academics Institutions, Colleges and Universities, Finance, Marketing, Information Technology, Banking, management, Sales, Operations, Supply Chain Management, MNCs, Product Development, Human Recourses, and such. |
| Job Positions | Data Scientist, Health Care Analyst, Statistician, Business Analyst, Data Analyst, Data Scientist, Market Research Analyst, Technical Team Leader, Big Data Analyst, Predictive Modeler, Quantitative Analyst, Project Manager, Market Research Analyst, Computer Systems Analyst, Technical Team Leader, among others. |
B.C.A. in Data Analytics: What is it About?
The program aims to impart to eligible candidates a combined study of business with data analytics and quantitative systems. The curriculum is further supplemented by a progression of analytical modules, giving a solid range of abilities in data analysis and statistics.
In present-day business, key leaders consistently utilize the deductions of information investigation to advise strategic decisions. The program has been designed to equip aspiring managers and entrepreneurs with a crucial understanding of statistical principles, in order to grasp the implications and limitations of the results presented to them.
Such candidates would ideally possess vital analytical skills to operate in the discipline of Data Analytics, and strong theoretical foundations and practical skills of data science sector.
The subject covers specialized, technical and business areas. The curriculum is oriented towards:
- Adding to the students’ knowledge of powerful techniques used in finance, marketing, and operations.
- Building students’ relational abilities as business investigators invest a lot of energy communicating with clients, customers, management and engineers.
- Developing analytical skills in students, since the job involves data analysis, documents, user input surveys, and workflow.
- Equipping students with the requisite tools and techniques that drive solutions to real world business problems.
- Enabling students to analyze and provide solutions on data visualization techniques effectively.
- Preparing students for offering cutting-edge solutions to organization’s cyclical issues with data driven management decisions.
- Providing advanced insight to student about leading analytic practices, design, and iterative learning and development cycles, which are the most significant part of business core deliverables.
- Preparing students to build data-fueled products that assist customers and improve business outcomes.
Top Institutes offering B.C.A. in Data Analytics
Listed below are some of the top institutes in India that offer the course
Eligibility for B.C.A. in Data Analytics
Listed below are the minimum criteria which candidates interested in pursuing the course are required to fulfil, in order to be eligible to apply for the course:
- Successful completion of 10+2 level of education in any stream, preferably Science, completed from a recognized university.
- A minimum aggregate score of 50% (45% for SC/ST candidates) at the level of graduation.
B.C.A. in Data Analytics: Admission Process
Most institutes offering the course admit students based on performance in a relevant entrance test, often followed by a round of personal interview, wherein their general aptitude for the course is tested. Admission process generally varies across colleges.
A few institutes also provide direct admission based on the candidate’s performance at the 10+2 level of education.
Listed below are some of the top entrance exams conducted in the country for admission to the course:
- IPU CET BCA
- KIITEE BCA
- LUCSAT BCA
- PESSAT.
B.C.A. in Data Analytics: Syllabus and Course Description
A semester-wise breakup of the course’s syllabus is tabulated here:
| Semester I | Semester II |
|---|---|
| English for Professionals | Mathematics for Data Scientists -- II |
| Mathematics for Data Scientists - I | Object Oriented Programming using Java |
| Communication skills | Data Structures and Algorithms |
| Computer Architecture & Organization | Probability & Statistics - I |
| Programming in C | Excel for Data Scientists (Tool Based) |
| Operating System | Introduction to Data Science |
| Programming in C Lab | Object Oriented Programming using Java Lab |
| Operating System Lab | Data Structures and Algorithms Lab |
| Semester III | Semester IV |
| Reasoning and Thinking | Inferential Statistics |
| Software Engineering | Data Manipulation Using PL / SQL Programming |
| Database Management Systems | Big Data Analytics (Tool Based) |
| Probability & Statistics - II | Machine Learning Algorithms - I (Tool Based) |
| Computer Networks | Exploratory Data Analysis (Tool Based) |
| Scientific Programming Using R (Tool Based) | Business Communication and Presentation Skills / Professional Ethics |
| Database Management Systems Lab | Inferential Statistics Lab |
| Software Engineering Lab | Data Manipulation Using PL / SQL Programming Lab |
| Semester V | Semester VI |
| Times Series Analysis | Elective - III |
| Cloud Computing | Project and Viva-Voce |
| Machine Learning Algorithms - II (Tool Based) | List of Electives: |
| Data Visualization (Tool Based) | Elective – I (Any One) |
| Elective – I | Internet of Things |
| Elective – II | Artificial Intelligence |
| Times Series Analysis Lab | Neural Networks |
| Cloud Computing Lab | - |
| Elective – III (Any One) | Elective – II (Any One) |
| Data Science Project Management | Natural Language Processing |
| Data Science Industry Use Cases | Reinforcement Learning |
| Advance in Data Science | Real Time Data Processing |
B.C.A. in Data Analytics: Career Prospects
Data Analytics lies at the intersection of business intelligence, statistics, sociology, communication, and computer science.
Such professionals are needed to be number wizards, and also strong communicators who can think abstractly. Such analyses need to work closely with the Project Manager and help with project planning.
After gaining certain expertise, a Business Analyst is promoted to supervisory positions like Senior Business Analyst, etc.
Some of the popular professional avenues open to successful graduates of the course are listed below with the corresponding salaries offered for the respective positions:
| Job Position | Job Description | Average Annual Pay Scale in INR |
|---|---|---|
| Market Research Analyst | Market Research Analysts observe economic situations to look at potential results of a product or service. They enable organizations to comprehend what products individuals need, who they would target, and at what cost. | 5,13,936 |
| Data Analyst | Data Analysts translate numbers into English. Every business gathers information, regardless of whether it's business figures, statistical surveying, market research, logistics, or transportation costs. | 3,49,284 |
| Statistician | A Statistician gathers numerical information and with such information, helps the organization understand quantitative information, and to spot patterns and make predictions. | 3,68,671 |
| Data Scientist | A Data Scientist’s duties commonly include making different Machine Learning-based apparatuses, or procedures inside the organization, for example, suggestion motors or computerized lead-scoring frameworks. Such professionals possess expertise in performing statistical investigation. | 6,20,244 |
| Business Analyst | Business Analysts create technical solutions for business issues, or advance an organization's business endeavors. They characterize, examine, and document business requirements. | 8,62,699 |
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