Bachelor of Computer Application in Data Analytics  Syllabus

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.

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:

  • 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 LevelGraduation
Duration3 years
Examination TypeSemester System/Year wise
Eligibility10+2, preferably with Commerce subjects, with a minimum aggregate score of 50%.
Admission ProcessMerit-based/ Based on counselling after qualification of entrance test.
Course FeeINR 5,000 to 5 Lacs
Average Starting SalaryINR 3 to 20 lacs per annum
Top Recruiting CompaniesHDFC 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 AreasAcademics Institutions, Colleges and Universities, Finance, Marketing, Information Technology, Banking, management, Sales, Operations, Supply Chain Management, MNCs, Product Development, Human Recourses, and such.
Job PositionsData 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.

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:


B.C.A. in Data Analytics: Syllabus and Course Description

A semester-wise breakup of the course’s syllabus is tabulated here:

Semester ISemester II
English for ProfessionalsMathematics for Data Scientists -- II
Mathematics for Data Scientists - IObject Oriented Programming using Java
Communication skillsData Structures and Algorithms
Computer Architecture & OrganizationProbability & Statistics - I
Programming in CExcel for Data Scientists (Tool Based)
Operating SystemIntroduction to Data Science
Programming in C LabObject Oriented Programming using Java Lab
Operating System LabData Structures and Algorithms Lab
Semester IIISemester IV
Reasoning and ThinkingInferential Statistics
Software EngineeringData Manipulation Using PL / SQL Programming
Database Management SystemsBig Data Analytics (Tool Based)
Probability & Statistics - IIMachine Learning Algorithms - I (Tool Based)
Computer NetworksExploratory Data Analysis (Tool Based)
Scientific Programming Using R (Tool Based)Business Communication and Presentation Skills / Professional Ethics
Database Management Systems LabInferential Statistics Lab
Software Engineering LabData Manipulation Using PL / SQL Programming Lab
Semester VSemester VI
Times Series AnalysisElective - III
Cloud ComputingProject and Viva-Voce
Machine Learning Algorithms - II (Tool Based)List of Electives:
Data Visualization (Tool Based)Elective – I (Any One)
Elective – IInternet of Things
Elective – IIArtificial Intelligence
Times Series Analysis LabNeural Networks
Cloud Computing Lab-
Elective – III (Any One)Elective – II (Any One)
Data Science Project ManagementNatural Language Processing
Data Science Industry Use CasesReinforcement Learning
Advance in Data ScienceReal 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.