Govt. P.G. College BCA in data Analytics Admission 2024-25, Important Topics, Result, Merit List

About BCA Data Analytics 

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%.

BCA Data Analytics Highlights

BCA Data Analytics Eligibility Criteria

Eligibility criteria for Bachelor of Computer Applications (BCA) degree programs with a specialization in data analysis may vary depending on the institution offering the degree program. However, the general eligibility criteria required for regular admission are Educational Qualifications Candidate must have completed her 10+2 (or equivalent) from an accredited board or educational institution. Proficiency exams must be completed with a minimum percentage of the total, but this may vary by institution. As a rule, a candidate must have scored at least 50% to 60% in her 10+2 exams. Subject Requirement Candidates must have studied Mathematics or Computer Science as one of the subjects in the 10+2 curriculum. Some institutions may have specific subject requirements or give preference to candidates with a background in science or computer-related subjects.

BCA Data Analytics Entrance Exam

Entrance exams for the Bachelor of Computer Applications (BCA) degree program with a specialization in data analysis may vary depending on the institution offering the degree program. However, here are some common topics and areas that may be covered on such an exam. Quantitative Aptitude Arithmetic: Questions on topics such as averages, percentages, ratios, proportions, etc. Data Interpretation: Interpretation of data presented in tables, graphs, and charts. Numerical Reasoning: Problem solving using mathematical operations. Logical Reasoning: Verbal Reasoning: Analyze written text, identify arguments, and draw conclusions. Nonverbal thinking: pattern recognition, sequence completion, and analogy. Mathematics: Basic mathematics topics such as algebra, trigonometry, analysis, and probability. Logical thinking and problem-solving skills.

Admission Process BCA Data Analytics 

Entrance exams for the Bachelor of Computer Applications (BCA) degree program with a specialization in data analysis may vary depending on the institution offering the degree program. However, common topics and areas that may be covered on such exams include Quantitative Aptitude Arithmetic: Questions on topics such as averages, percentages, ratios, proportions, etc. Data Interpretation: Interpretation of data presented in tables, graphs, and charts. Numerical Reasoning: Problem solving using mathematical operations. Logical Reasoning Verbal Reasoning: Analyze written text, identify arguments, and draw conclusions. Nonverbal thinking: pattern recognition, sequence completion, and analogy.Mathematics Basic mathematics topics such as algebra, trigonometry, analysis, and probability.Logical thinking and problem-solving skills. Computer Basics Computer hardware and software basics. Understanding of computer components such as CPU, memory, storage devices, input/output devices. Knowledge of operating systems and common software applications.

BCA Data Analytics Selection Criteria:

• Candidates can apply for admission to the program by filling out the application form available on the official website of the institution.
• The selection process may involve a written test followed by a personal interview.
  

BCA Data Analytics Duration

• The duration of the BCA in Data Analytics program is three years.

BCA Data Analytics Fee

• The fee for the program may vary depending on the institution. On average, the fee ranges from INR 50,000 to INR 2,00,000 per year.

BCA Data Analytics Syllabus

BCA Data Analytics Salary

The salary of BCA in Data Analytics graduates may vary depending on the job role, skills, and experience. On average, the starting salary of a data analyst can range from INR 3,00,000 to INR 5,00,000 per annum, while a data scientist can earn up to INR 10,00,000 per annum.

BCA Data Analytics Application Process

The application process typically involves filling out the application form, uploading necessary documents, paying the application fee, and submitting the application.

Overall, BCA in Data Analytics is a promising undergraduate program that prepares students for a career in the data analytics industry. Graduates of the program can expect to have excellent career opportunities and lucrative salaries in various industries.The program intends to give to qualified competitors a joined investigation of business with information examination and quantitative frameworks. The educational plan is additionally enhanced by a movement of systematic modules, giving a strong scope of capacities in information investigation and measurements. In present-day business, key pioneers reliably use the derivations of data examination to prompt key choices. The program has been intended to prepare hopeful directors and business people with a urgent comprehension of factual standards, so as to get a handle on the suggestions and confinements of the outcomes displayed to them. 

Such applicants would in a perfect world have crucial diagnostic abilities to work in the order of Data Analytics, and solid hypothetical establishments and down to earth aptitudes of information science segment. 

Qualification 

• Fruitful finishing of 10+2 degree of instruction in any stream, ideally Science, finished from a perceived college. 
• A base total score of half (45% for SC/ST up-and-comers) at the degree of graduation. 

Profession Prospects 

• Information Analytics lies at the convergence of business knowledge, measurements, human science, correspondence, and software engineering. Such experts are should have been number wizards, and furthermore solid communicators who can think conceptually. Such investigations need to work intimately with the Project Manager and help with venture arranging. In the wake of increasing certain ability, a Business Analyst is elevated to supervisory positions like Senior Business Analyst, and so on.