Best BCA Data Science Colleges in Bangalore | Course Details, Admissions, Eligibility, Career, Scope & Job Opportunities

A bachelor’s degree programme in BCA (Bachelor of Computer Applications) Data Science combines computer science, mathematics, and statistics to analyse and draw conclusions from huge data sets. Students who complete this programme will be adept in data analysis, data visualisation, and predictive modelling, among other data science principles.

Database management, programming in Python and R, machine learning methods, statistical analysis, and data visualisation tools are just a few of the topics covered in the BCA Data Science curriculum. Additionally, big data technologies like Hadoop, Spark, and NoSQL databases will be taught to the students. Additionally, to give students hands-on experience with data science applications, this programme may incorporate industry internships and capstone projects. Business analytics, data science, data engineering, data visualisation, and data mining are some of the fields in which BCA Data Science graduates can find employment. In businesses like e-commerce, finance, healthcare, and cybersecurity that deal with data-driven decision making, they can also work. Graduates may apply for positions as data analysts, data scientists, business analysts, and machine learning engineers, among other positions.

Overview of BCA Data Science Course

Course Name	BCA Data Science
Course Type	Undergraduate Course
Course Duration	3 years
Examination Type	Semester Based
Eligibility	50% marks at an average in 10+2 level with Maths as a compulsory subject
Admission process	Entrance Based / Merit Based
Course Fee	INR 2,00,000 to INR 3,00,000
Course Average Salary	INR 5,00,000 to 8,00,000 per annum
Top Recruiters	Deloitte, Amazon, Accenture, LinkedIn and much more of the same kind.
Job Position	Machine Learning Engineer, Data Scientist, Business Analyst and much more.

Benefits of Studying BCA Data Science Course

• BCA Data Science is an undergraduate programme that primarily focuses on giving students the necessary understanding of the many Computer and Software Applications fields in addition to the disciplines of Data Science. 
• By bridging the gap between the two professions, the course’s principal objective is to maintain a healthy balance between data science and computer applications. 
• The BCA Data Science course is currently only offered at a select few colleges. You will be prepared for a career in the field of data sciences with the help of this widely regarded course. 
• Graduates of the BCA Data Science programme get the chance to learn about a variety of topics, including big data analytics, machine learning, statistics and probability, and database management systems.

Why Choose Bangalore to Pursue BCA Data Science Course?

Bangalore, India’s Silicon Valley, is home to several prominent IT organisations, making it a perfect location for pursuing data science courses. The city provides numerous options for students to work at some of the industry’s top names.In Bangalore, there are various prestigious educational institutes that provide high-quality data science courses. The city is home to several prestigious colleges that offer BCA courses in data science and provide students with first-rate infrastructure and services.  Data science is a highly sought-after profession, and with Bangalore’s growing IT industry, there is no shortage of career prospects in this subject. The city boasts a significant pool of IT corporations that are constantly looking to hire data scientists, and some startups also recruit fresh grads on a regular basis. Bangalore has a vibrant data science community, with numerous clubs and forums where students can network. Participating in these communities allows students to communicate with professionals in the field, get useful insights, and make professional connections.

Top Colleges in Bangalore

Jain University, Bangalore

In Bangalore, Karnataka, India, there is a deemed-to-be-university called Jain University. It was founded in 1990, and the University Grants Commission designated it as a deemed-to-be university in 2008. The NAAC has named Jain University as one of the best universities in India, and it has received various awards for its academic offerings.  The institution offers a large, 117.14-acre campus with cutting-edge services and facilities. With students from all around the world studying there, the campus has a cosmopolitan feel.

• Ranking and Recognition: Accredited by NAAC, UGC Recognition, NIRF rankings etc 
• Address: 44/4, District Fund Road, Behind Big Bazaar, Jayanagara 9th Block, Bengaluru, Karnataka 560069

St. Joseph’s College of Commerce, Bangalore

The 1949-founded St. Joseph’s College of Commerce is a part of Bangalore University. The college offers undergraduate and graduate courses in business administration, accounting, management, and commerce. The college campus spans 2.5 acres in Brigade Road in Bangalore and is situated in a desirable locality. A library, computer labs, lecture rooms, a sports field, a café and a gymnasium are among the campus amenities. Merit-based admission is used for undergraduate programmes, whereas entrance exams, focus groups, and personal interviews are used for admission to the PGDM programme. The college has a specific placement cell that arranges campus recruitment campaigns, industry visits, and internships for the students. KPMG, Deloitte, EY, Goldman Sachs, Wipro, and TCS are a few of the top employers.

• Ranking and Recognition: National Assessment and Accreditation Council (NAAC) with an ‘A’ grade.
• Address: 163, Brigade Rd, Shanthala Nagar, Ashok Nagar, Bengaluru, Karnataka 560025

Kristu Jayanti College, Bangalore

The Bodhi Niketan Trust founded Jayanti College in 1999 with the intention of offering top-notch higher education to students from all socioeconomic levels. It is associated with Bangalore University and has received an “A” grade of accreditation from NAAC. Bangalore’s Kristu Jayanti College is a renowned university that provides undergraduate, postgraduate, and research programmes in a range of subject areas. The college provides a huge selection of courses in a number of faculties, including Business, Management, Humanities, Social Sciences, Life Sciences, Computer Science, and Physical Sciences. Additionally, it provides professional programmes like law and education.

• Ranking and Recognition: India Today, The Week, and Outlook Magazines have named Kristu Jayanti College as one of the Top 10 colleges in Bangalore. For its services to education, it has also been recognised with numerous honours and awards, including ASSOCHAM India’s Best Higher Education Institution-South India Award in 2020.
• Address: Kristu Jayanti College, Kristu Jayanti Nagar, Kothanur P. O, Bengaluru, Karnataka 560077

Acharya Institute of Technology, Bangalore

Bangalore, Karnataka, India is home to the private engineering school Acharya Institute of Technology (AIT). The Visvesvaraya Technological University (VTU) is linked with the institute, which was founded in 2000. It has AICTE (All India Council for Technical Education) approval and NBA (National Board of Accreditation) accreditation. AIT provides undergraduate and graduate degrees in a number of engineering disciplines, including computer science and engineering, electronics and communication engineering, mechanical engineering, electrical engineering, information science and engineering, civil engineering, and others. The institute additionally provides a BCA in Data Science programme. NIRF, Outlook India, and Times of India are just a few of the reputable organisations that have given AIT awards and rankings. Strong industry connections that the college has established with IT behemoths like IBM, Infosys, and Wipro give students access to cutting-edge technologies and practical experience working on real-world projects. To continuously improve students’ knowledge and abilities, AIT also hosts a number of conferences, workshops, and seminars on a national and international level.

• Ranking and Recognition
• Address: Acharya Dr Sarvepalli Radhakrishnan Rd, Soladevanahalli, Bengaluru, Karnataka 560107

Krupanidhi College, Bangalore

Krupanidhi College is a prestigious educational institution in Bangalore, Karnataka, India. The institution, which is affiliated with Bangalore University, was founded in 1985. It has been approved by the AICTE, NAAC, and UGC.

Pharmacy, Nursing, Physiotherapy, Business Management, Computer Applications, Journalism, and Mass Communication are among the undergraduate, postgraduate, and diploma courses available at the college. Doctorate degrees in Pharmacy, Nursing, Management, and Physiotherapy are also available at the campus. The campus spans 11 acres and includes cutting-edge infrastructure and facilities such as a library, computer labs, seminar rooms, theatre, sports facilities, and a well-equipped gymnasium. Krupanidhi College also has a hostel for both boys and females.

• Affiliation: Affiliated to Rajiv Gandhi University of Health Sciences, Bangalore University, and Bangalore North University.
• Accreditation: Accredited by NAAC with ‘A’ grade, and recognized by UGC.
• Address: Krupanidhi College, No.12/1, Chikkabellandur, Carmelaram Post, Varthur Hobli, Bangalore – 560035. 

IZEE College Bangalore

IZEE College is a private university in Bangalore, India. Management studies, computer applications, commerce, science, hotel management, and media studies are among the undergraduate and postgraduate courses available at the college. To provide a quality education to its students, the college includes well-equipped classrooms, laboratories, and libraries. Izee College’s faculty members are knowledgeable and committed to providing their students with a high-quality education. The college also has partnerships with renowned corporations and provides career counselling and placement services to its students. Izee College is associated with Bangalore University and is recognized by AICTE (All India Council for Technical Education) and the University Grants Commission (UGC). For its exceptional academic programs, the college has garnered numerous accolades and recognitions. 

• Affiliations: Affiliated to Bangalore University and recognized by the University Grants Commission (UGC). It is also accredited by the National Assessment and Accreditation Council (NAAC) with a ‘B’ grade.
• Address: No.13, 7th Mile, Mysore Road, Kenchenhalli, Bangalore – 560059, Karnataka, India.

St Benedict College, Bangalore

St. Benedict institution is an Indian institution in Bangalore, Karnataka. The college is connected with Bangalore University and offers undergraduate and postgraduate programs in the humanities, business, and science. The college, which was founded in 2013, is located in Kengeri, Bangalore. It features a 15-acre campus with modern amenities such as classrooms, laboratories, a library, a sports field, and a canteen. The college’s objective is to give students a superior education while also developing their personality, knowledge, and abilities to make them globally competitive.

• Affiliation: Affiliated to Bangalore University.
• Address: 91, Doddahulluru Rd, Venkateshwara Layout, Kudlu Gate, Hosur Road, Bengaluru, Karnataka 560068, India

East Point College, Bangalore

East Point College is a constituent college of the Visvesvaraya Technological University (VTU), a well-known technical university in Karnataka. The college is recognized by the All India Council for Technical Education (AICTE) and approved by the Government of Karnataka. It offers a variety of amenities and facilities to its students, such as spacious classrooms, well-equipped labs, a library with a large collection of books and research materials, sports facilities, hostel accommodation, transportation, a cafeteria, and more. Overall, East Point College Bangalore is noted for its high-quality education, dedicated instructors, and well-rounded student development activities.

• Affiliations: affiliated to Bangalore University and Approved by AICTE (All India Council for Technical Education).
• Address: Bidarahalli, Bangalore – 560049, Karnataka, India. It is situated between NH 75 and NH 207, near the Narasapura Industrial Area.

East West College, Bangalore

East West College in Bangalore is a well-known Karnataka institution. East West College was founded in 1968 and is associated with Bangalore University. Undergraduate programs in Commerce, Science, and Management are available at the college. East West College provides B.Com, B.Sc, BCA, and BBA programs. The admissions process is merit-based or based on entrance tests. East West College has a dedicated placement cell that assists students in obtaining employment in reputable companies. The college is set on a lush green campus in the midst of the city, making it ideal for academic and extracurricular activity. To help students’ general growth, the college features a library, computer lab, and sports facilities.

• Affiliations: affiliated with Bangalore University and approved by AICTE, New Delhi.
• Address:  No. 63, Bellary Road, Bengaluru, Karnataka 560024, India.

 

Eligibility Criteria

Below is a description of the requirements for admission to BCA Data Science courses for your reference. 

• Students must have passed their 10+2 qualifying exam with at least a 50% grade point average.
• Students must have earned their 10+2 diplomas from an accredited school or institution.
• Additionally, a student must have earned a 10+2 diploma in the science stream with mathematics as a required subject. In 10+2, one may select computers as an elective subject.
• The prospective candidate must not have any outstanding work from their prior educational level.
• Candidates must pass an entrance exam held at the national or university level in addition to these requirements in order to be accepted into the best colleges or universities. 

Entrance Exams

Data Science BCA Entrance tests are significant because they are a key component of the BCA Data Science programme admissions process. Entrance tests are made to assess students’ knowledge and abilities in a variety of topics, including statistics, computer science, and mathematics. It aids institutions and colleges in choosing the top applicants who possess the necessary quantitative and analytical abilities for BCA Data Science programmes. Entrance examinations are standardised assessments that make sure that each applicant is put to the test on the same set of abilities and knowledge. By rejecting biases and promoting fair criteria and opportunities for all candidates, standardised evaluation is used.

1. IPU CET (Indraprastha University Common Entrance Test) 
2. DUET (Delhi University Entrance Test)
3. Sharda University Entrance Test
4. Christ University Entrance Test
5. SET (Symbiosis Entrance Test)
6. Manipal Entrance Test

One of the selection criteria for enrollment in BCA Data Science programmes sometimes includes entrance tests. Entrance exams enable universities and colleges to choose the top applicants because many students apply to these programmes. Data Science BCA In order to secure solid employment chances in the field of data science, entrance tests are crucial. Your chances of being accepted into prestigious institutions and colleges as well as your prospects of finding a solid job after graduation will both be improved by high entrance exam results. Science of Data Professional evaluations of the student’s abilities are provided by entrance tests. Entrance tests let students get a general understanding of their strengths and shortcomings in the particular area and then direct them further in that direction.

Admission Process

Depending on the university or institution, the admission process for a BCA in Data Science degree may differ. However, the following are some common entrance requirements and steps:

• Eligibility: Candidates must have a minimum of 50% in their 10+2 education or equivalent from a recognized board. Some universities may also demand coursework in mathematics and/or computer science.
• Entrance Exam: Some colleges hold entrance tests for their BCA programs. To be eligible for admission, candidates must pass the entrance exam.
• Application Form: Candidates must complete the application form, which can be found on the university’s website or in person at the admissions office.
• Academic transcripts, mark sheets, and other essential papers such as ID proof, passport-size pictures, and category certificate (if applicable) must be submitted by candidates.
• Universities create a merit list based on entrance exam scores and academic accomplishments.
• Counselling: Shortlisted students must attend counselling sessions to pick their preferred degree and pay the relevant costs.
• Admission: After the counselling procedure is completed, candidates are assigned seats and given admission letters. To get admitted, candidates must submit the required documentation and pay the appropriate fees.

It is critical to confirm the admission process and prerequisites with the relevant university or institution, as they may differ.

Fee Structure

The fee structure for the BCA Data Science course in Bangalore varies from institution to college. It is determined by a variety of elements, including infrastructure, faculty, course material, and the location of the college. The annual fee for a BCA Data Science course in Bangalore ranges from Rs. 50,000 to Rs. 1,50,000. However, some prestigious universities’ annual costs may exceed Rs. 2,000,000. Before enrolling, review the whole pricing structure of the college because hidden charges, examination fees, and library fees may be applicable in some colleges.

The cost of BCA Data Science in Bangalore colleges varies depending on a number of factors.  Fees for BCA Data Science courses may be higher in colleges with a good reputation for teaching them. Tuition prices may be higher in colleges with stronger infrastructure and amenities, such as modern laboratories, advanced equipment, and library resources. Colleges with highly qualified professors may demand more fees than those with less competent instructors. Colleges in urban or prime areas may charge more fees than those in rural areas due to higher living expenditures. Colleges that provide specialized BCA Data Science courses or modules may charge more tuition rates than those that only offer basic courses. In outcome, the fees for BCA Data Science in Bangalore colleges may vary depending on the aspects listed above. It is always critical to conduct research and select a college that offers the best value for money in terms of course curriculum, professors, facilities, and fees.

Types of BCA Data Science: Regular, Online and Distance Education

The three types of BCA Data Science Courses are;

• Regular BCA Data Science: This is a full-time, on-campus course in which students regularly attend classes at a college or university. It is a classic method of instruction in which students gain hands-on experience and direct interaction with professors and classmates.
• Online BCA Data Science courses are becoming increasingly popular because they provide students with a flexible learning environment. Students can use the internet to access course materials, engage with professors and peers, and submit homework. Online courses are suitable for those who cannot attend traditional college due to employment or other obligations.
• Distance Learning BCA Data Science: Distance Learning BCA Data Science courses are comparable to online courses, however they are delivered by mail. Students in this style of learning receive course materials via mail or email. They can study at their own speed and schedule exams whenever they like. Distance education courses, on the other hand, may not offer students the same amount of connection with instructors and peers as normal or online classes.

Specialisations

Yes, specialisations are available in the BCA Data Science course, such as:

• Data Analytics focuses on analysing and extracting insights from massive data sets using statistical and computational methodologies.
• Data Engineering focuses on the design, construction, and maintenance of the infrastructure required for storing, analysing, and managing big data collections.
• Machine Learning – This field is concerned with training algorithms to recognize patterns in data and make predictions based on them.
• Artificial intelligence focuses on the development of algorithms and systems that can accomplish activities that normally require human intelligence, such as interpreting spoken language or image recognition.
• Data Visualization focuses on the development of tools and approaches for presenting data in an understandable and interpretable visual format.
• Big Data – Addresses the difficulties associated with processing and interpreting data collections that are too massive to manage using traditional approaches.

BCA Data Science Course Specializations are intended to equip students with in-depth knowledge and competence in a specific field of data science. These specialties assist students in developing advanced skills and information needed for specific career responsibilities in the industry. Students can also customise their education to their job goals and interests through specialisations. Furthermore, specialities give students a competitive advantage and set them apart from other graduates in the job market.

Future Scopes and Career

As more businesses use data to drive decision-making, they need experts who can gather, store, process, analyse, and understand big data. With the help of machine learning, data mining, and statistical methods, which are crucial for businesses and organisations when making data-driven decisions, the BCA in Data Science gives students a solid foundation in data analysis. The amount of data produced has increased tremendously with the rise in digitalization. Data analysis has become more difficult as a result because it now calls for more advanced tools, approaches, and abilities. Students in the BCA Data Science programme are prepared to handle this enormous amount of data and are knowledgeable about a variety of tools, including Hadoop and Spark. The ability to use data to inform strategic business decisions gives organisations a considerable competitive advantage. Students who complete the BCA in Data Science are given a thorough understanding of the full data analysis process, from data gathering to interpretation. Graduates who can provide organisations useful insights stand out in the job market. It is anticipated that there will be 11.5 million employment openings for data scientists, analysts, and engineers by 2026. Employers are keen to collaborate with people who can work with data efficiently and who possess the necessary skills to get insightful knowledge.

As it offers a practical framework for creating distinctive insights and solutions supported by data, BCA Data Science will become increasingly important in the future. This makes it a highly valued skill set for both individuals and organisations. 

BCA Data Science has a highly bright future because it is a constantly expanding topic of study. Data scientists that can process and analyse enormous amounts of data are in high demand due to the expanding usage of technology in a variety of businesses. Following are a few possible employment options for BCA Data Science graduates:

• Data analyst: A data analyst is in charge of examining sizable data sets to draw out important insights that might aid organisations in optimising their operations. To clean, transform, and modify the data to create reports and visualisations, they employ a variety of tools and methods.
• Data scientists are in charge of creating statistical models and algorithms to find patterns and trends in massive amounts of data. They collaborate closely with corporate stakeholders to comprehend their needs and create unique solutions.
• A business analyst’s job is to analyse data and company operations to find areas where an organisation can be improved. To bolster suggested improvements, they compile requirements and produce business cases.
• Large volumes of data must be stored, processed, and managed by big data engineers. They work to create pipelines for data processing and make sure that data is accessible for analysis.
• Designing and putting into practise machine learning algorithms and models is the job of a machine learning engineer. To put new models into use in production, they collaborate closely with data scientists.
• Engineers in artificial intelligence are in charge of creating AI-based solutions to address commercial issues. They create specific algorithms to satisfy particular needs and train models using machine learning.

BCA Data Science is, all things considered, a very promising field with the possibility for steady career progression. A career in data science is a great option for those interested in technology and problem-solving because there is a growing demand for professionals who can work with data in a meaningful way as the world becomes more data-focused.

There are many chances for BCA Data Science programmes in Bangalore, one of the top locations in India for data science education. Students who complete this course will have a solid foundation in programming languages, data structures, algorithms, and computer science. Additionally, it emphasises key data science methods and technologies like machine learning, deep learning, artificial intelligence, data analytics, and big data.

Higher Studies

Higher education is crucial for developing one’s job, growing personally, and improving one’s knowledge and skills. The importance of further education following a BCA in data science is influenced by a number of factors. Higher education programmes like the MCA, MSC in Data Science, or Master of Data Science can give students in-depth understanding in particular fields of data science like machine learning, data analytics, and big data technologies. BCA Data Science is an interdisciplinary field. After completing a BCA in Data Science, further education may open up more professional prospects. Gaining entry-level work in reputable companies as a Data Scientist, Data Engineer, or Machine Learning Engineer may be facilitated by a higher degree in data science.

1. M.Sc. in Data Science and Analytics
2. M.Sc. in Machine Learning and Data Science
3. MCA (Master of Computer Applications)
4. MBA in Business Analytics
5. Master of Data Science
6. Master of Analytics
7. Master of Science in Big Data Analytics
8. Master of Science in Artificial Intelligence
9. PhD in Data Science

Research possibilities in a variety of areas, including healthcare, finance, marketing, and government, can be found by pursuing higher education in data science. Students can examine cutting-edge methods, theories, and technology in the industry while also advancing it. It can give you the information and abilities you need to launch your own business or start-up in the data science industry. Additionally, it can support the growth of crucial abilities like creativity, critical thinking, and problem-solving. These advanced degrees will improve students’ abilities and provide them a competitive advantage when applying for jobs in the data science industry.

Syllabus

The BCA Data Science syllabus is crucial since it describes what subjects and skills students will study. It acts as a manual for educators on how to efficiently create and present lessons that adhere to industry standards and give students the skills and information they need to thrive in their future occupations. The syllabus offers a uniform structure for the course, making it simpler for colleges and universities across the nation to deliver comparable instruction and uphold a uniform level. The syllabus gives the course’s instructors direction, advice, and structure, which makes it simpler for them to convey the material in a methodical way. The curriculum is routinely revised to stay current with the most recent advancements and trends in the field, ensuring that students have access to the most recent information and abilities. The syllabus provides a framework for assessing students’ development and performance over the course of their studies. It describes the evaluation standards, assessment weighting, and mode of evaluation that will be applied.

The main topics are mentioned below

Big Data Analytics	Python Programming
Computer Networks	Data Modelling and Visualisation
Introduction to Data Mining	Database Management
Discrete Mathematics	Statistics and Probability
Machine Learning

Semester Wise Syllabus

Semester 1	Semester 2	Semester 3
Cultural Education 1	Cultural Education 2	Life Skills 1
Communicative English	Language Paper 2	Essential of Data Collection Ethics
Language 1	Professional Communication	Descriptive Statistics
Discrete Mathematics	Statistics and Probability	Computer Networks
Environmental Science and Sustainability	Database Management System	Object Oriented Programming using C++
Computer Essentials for Data Science	Data Structure and Algorithm	Software Engineering
Computational Thinking and Programming in C	Operating System	Scripting Technologies Lab
Computational Thinking and Programming in C Lab	Database Management System Lab	Practical Exposure to Data Collection Lab
Semester 4	Semester 5	Semester 6
Life Skills 2	Data Modelling and Visualization	Big Data Analytics
Introduction to Data Mining	R Programming for Data Sciences	Information and Data Security
Python Programming	Machine Learning	Natural Language Processing
Open Elective A*	Elective B	Elective C
Introduction to Java and Web Programming	Introduction to Parallel Programming and Data Optimization	Big Data Analytics Lab
Python Programming Lab	Open Elective B*	Project
Elective A	Introduction to Parallel Programming Lab	–
Java Programming Lab	Fundamentals of Machine Learning Lab	–
–	Minor Project	–

The BCA Data Science syllabus is essential for giving students a clear grasp of the material they will learn, the skills they will acquire, and the standards that will be set for them. It is essential to guarantee that students obtain a well-rounded education that will prepare them for a rewarding job in data science.

Skills Required

Technical skills are required for the BCA Data Science course because it requires the use of advanced technologies and tools to analyse and understand data. It would be difficult to efficiently acquire, analyse, and understand data without technical expertise. Some of the technical abilities required for the BCA Data Science course are as follows:

• Strong mathematical skills are required for data science because it requires the application of mathematical principles such as calculus, linear algebra, probability, and statistics.
• Statistical principles such as descriptive statistics, inferential analysis, hypothesis testing, and regression analysis should be thoroughly understood by students.
• Knowledge of programming languages such as Python and R is required because they are commonly used in data analysis and machine learning.
• Database administration- Because data is saved and managed in databases, students need to understand SQL and database management.
•  Data Mining- Understanding data mining techniques such as clustering, classification, association rules, and sequential pattern mining is essential.
• Machine learning algorithms, such as neural networks, decision tree algorithms, and support vector machines, must be understood.
• Data visualisation- To show and evaluate data, students should be familiar with data visualisation technologies such as Tableau or Power BI.
• Knowledge of big data technologies- Knowledge of big data technologies such as Hadoop and Spark is advantageous because they are commonly utilised in large data processing.

In a nutshell technical skills are vital in Data Science since they allow you to analyse enormous volumes of data and draw valuable insights that can help you make decisions.

Top Recruiters

Due to the growing need for experts in Data Science and Analytics, businesses in India are hiring graduates with a BCA degree in the subject. Professionals who can gather, process, and analyse data are required due to the daily growth in data provided by businesses and organisations, which enables them to make better decisions. Students who receive a BCA in Data Science are prepared to work with data in areas including statistical analysis, data mining, and machine learning. The programming languages Python, R, and SQL, which are frequently used in data science projects, are also understood by these grads.

These businesses provide a range of employment opportunities, including those for data analysts, data scientists, machine learning engineers, business intelligence analysts, and data engineers. To find out about their employment criteria and opportunities, you can browse their career webpages or get in touch with them.

1. TCS ( Tata Consultancy Services)
2. Infosys
3. Wipro
4. HCL Technologies
5. IBM India
6. Accenture
7. Capgemini
8. Cognizant
9. Tech Mahindra
10. Deloitte India

Additionally, a large number of Indian businesses are tech-focused and have made significant investments in initiatives related to digital transformation, artificial intelligence, and machine learning. The need for graduates of data science programmes, who are trained for careers in data analytics and AI, has surged as a result. The conclusion is that To satisfy the rising need for data and analytics experts and to take advantage of data-driven insights to remain competitive, businesses in India hire graduates with a BCA degree in data science.

Top Colleges in INDIA

College Name	Average Annual fees(INR)
Apex University	INR 1,00,000 to INR 3,20,000
Poornima University	INR 3,00,000 to INR 4,00,000
KL University	INR 1,00,000 to INR 2,00,000
SAGE University	INR 3,00,000 to INR 4,00,000
VELS Institute of Science, Technology and Advanced Studies	INR 3,00,000
Vivekananda Global University	INR 3,22,000
BS Abdur Rahman Institute of Science and Technology	INR 2,55,000
Teerthanker Mahaveer College of Computing Sciences and Information Technology	INR 1,38,000

FAQs

Q. What is BSc Data Science, exactly?

A. A three-year undergraduate programme called the BSc in Data Science is devoted to the study of several facets of data science, such as data analytics, big data technologies, machine learning techniques, and statistical modelling.

 

Q. What subjects are included in BSc Data Science courses?

A. Students learn the principles of computer science, mathematics, statistics, and data structures in a BSc Data Science programme. Data processing, data warehousing, data analysis, and data visualisation will all be covered in the course material. Deep learning, machine learning, and artificial intelligence will all be covered in the programme.

 

Q. What requirements must one meet to be eligible for a BSc in data science programme?

A. The requirements for a BSc in Data Science programme differ from one university to the next. However, candidates normally need to have successfully finished their 10+2 education from a reputable board, with mathematics being one of the important topics.

 

Q. What professions are open to graduates of a BSc in data science programme?

A. Numerous job prospects in disciplines including Data Analytics, Data Mining, Business Intelligence, Machine Learning, and Artificial Intelligence are made possible with a BSc in Data Science. Graduates with a BSc in data science can find employment as data scientists, analysts, engineers who specialise in machine learning, business analysts, and more.

 

Q. What qualifications are necessary for a fulfilling job in data science?

A. You need good abilities in programming, data analysis, and statistics to succeed in the discipline of data science. Another crucial set of abilities is the capacity for teamwork and effective communication.

 

Q. Is it required to continue your education after taking BSc Data Science courses?

A. A BSc in data science can prepare students for entry-level positions in the field, but earning an MSc or MBA in business analytics can improve your prospects of finding better employment options and earning more money.

 

Q. Which businesses hire graduates with a BSc in data science?

A. Graduates with a BSc in data science are hired by a number of organisations, including Google, Amazon, IBM, Facebook, and Microsoft. Graduates in data science are also in high demand by many small and medium-sized enterprises for data modelling, data mining, data management, and analytics.