B.C.A - Data Science

Overview:

B.C.A Data Science is a 3-year advanced undergraduate degree in computer and mathematical sciences. The curriculum was developed to meet the needs of today's IT industry. It is an advanced course in Data Science that enables students to get in-depth knowledge in Data Science and software application subjects.

Students wishing to pursue B.C.A Data Science must have passed 10+2 with a minimum of 50% score from a recognized Board having Maths as a major subject. Admission to the course is generally based on the scores obtained by a candidate in the entrance exams conducted for the same such as ACET, KL, CET exams. However, there are few colleges that provide admissions based on merit-basis.

Some Highlights of B.C.A Data Science:

Top Colleges Offering B.C.A Data Science: 

• Apex University
  
• Poornima University
  
• KL University
  
• SAGE University
  
• VELS Institute of Science, Technology and Advanced Studies
  
• Vivekananda Global University
  
• BS Abdur Rahman Institute of Science and Technology
  
• Teerthanker Mahaveer College of Computing Sciences and Information Technology
  

Why Choose B.C.A Data Science?

• BCA Data Science is a 3-year undergraduate degree course that focuses on educating and training the students about appropriate knowledge of the various arenas of Computer and Software Applications alongside the Data Science subjects.
  
• This is an excellent choice of course for students who are willing to gain knowledge about the subjects such as Database Management System, Statistics and Probability, Machine Learning, Big Data Analytics and so on.
  
• In addition to providing you with a solid foundation in data science and programming languages, a BCA in data science will help you learn about computer applications and software development in depth.
  
• BCA Data Science is quite popular right now but the demand for the professionals in this field is very high. With advancement of technology the scope in this field is growing everyday.
  
• At the successful completion of the course, students may find lucrative employment opportunities as Machine Learning Engineer, Data Scientist, Business Analyst and much more.
  
• The average starting salary for these professionals is INR 5,00,000 to INR 8,00,000, which can rise with experience and expertise.
  

Admission Procedure For B.C.A Data Science:

• The admission to this course depends on the marks procured by the candidate in an entrance exam
  
• Some colleges also allow admission on merit basis for which students are advised to score well in their high school exams
  

Eligibility For B.C.A Data Science:

• 10+2 education completed from a recognized educational Board
  
• Commerce subjects as the main subjects of study at the 10+2 level
  

Career Opportunities For B.C.A Data Science:

Graduates of the BCA Data Science programme can find work in a variety of industries, but IT is the most common. There is a great deal of interest in the BCA Data Science course these days in the industrial marketplace, and it is well accepted worldwide.
If the students continue to desire to excel further in this field, they may go for further studies in the field so as to gain much more knowledge of the same. In recent years, the course has proven to be subject-matter competent, as well as capable of providing students with excellent job opportunities that align with their interests in Data Science.

Jobs Opportunities After B.C.A Data Science:

• Business Analyst
  
• Data Scientist
  
• Statistician
  
• Software Engineer
  
• Machine Learning Engineer
  

Top Recruiters For B.C.A Data Science:

• Deloitte
  
• Amazon
  
• Accenture
  
• Flipkart
  
• IBM
  
• Myntra
  
• Citrix
  

Syllabus For B.C.A Data Science:

Semester I

Cultural Education 1
Communicative English
Language 1
Discrete Mathematics
Environmental Science and Sustainability
Computer Essentials for Data Science
Computational Thinking and Programming in C
Computational Thinking and Programming in C Lab
-

Semester II

Cultural Education 2
Language Paper 2
Professional Communication
Statistics and Probability
Database Management System
Data Structure and Algorithm
Operating System
Database Management System Lab
Data Structures Lab

Semester III

Life Skills 1
Essential of Data Collection Ethics
Descriptive Statistics
Computer Networks
Object Oriented Programming using C++
Software Engineering
Scripting Technologies Lab
Practical Exposure to Data Collection Lab
-

Semester IV

Life Skills 2
Introduction to Data Mining
Python Programming
Open Elective A*
Introduction to Java and
Web Programming
Python Programming Lab
Elective A
Java Programming Lab
-
Semester V

Data Modelling and Visualization
R Programming for Data Sciences
Machine Learning
Elective B
Introduction to Parallel Programming and Data Optimization
Open Elective B*
Introduction to Parallel Programming Lab
Fundamentals of Machine Learning Lab
Minor Project

Semester VI

Big Data Analytics
Information and Data Security
Natural Language Processing
Elective C
Big Data Analytics Lab
Project
-