Data Science After BCA- Jobs, Scope, Salary In India

Data Science After BCA

Choosing Data Science after BCA is like stepping into a tech adventure where you learn to analyze information in a super-smart way. With your BCA background, Data Science adds cool skills to help you make sense of big data and make clever decisions in the tech world. This article discusses the job, scope, and salary in data science after BCA.

What is Data Science?

Data Science is a field that uses scientific methods to extract valuable insights from different types of data, whether it’s organized, structured, or not. The goal is to gain important business insights by studying and analyzing large volumes of data, combining techniques from mathematics, statistics, artificial intelligence, and computer engineering.

Data Scientists are skilled professionals who work with massive sets of both structured and unstructured data. They process, model, and analyze this data to develop practical plans for businesses and other organizations.

Data Scientists are experts at identifying patterns in messy, unorganized data from various sources like smart devices, social media, and emails that don’t neatly fit into a database.

Skills Required For Data Scientist

Eligibility	To become a Data Scientist, a Candidate must complete 10+2 from a recognized board with a minimum aggregate score of 50% or above with Mathematics, Computer Science, or Statistics as one of the main subjects.
Employment Opportunities	Data Architect, Data Administrator, Business Intelligence Manager, Data Scientist, Data Analyst
Required Skills	Data Visualization, Programming, Data Wrangling, Deep Learning, Machine Learning
Starting Salary	INR 5.75 LPA
Average Salary	INR 11.44 LPA
Highest Salary	INR 34 LPA & above

Eligibility Criteria for Data Scientist

1. To take a course in data science, candidates are required to complete 10+2 from a recognized board with a minimum aggregate of 60% or above.
2. Candidates have to be class 12th pass in the science stream along with Physics, Computer Science, and Mathematics as their compulsory subjects.
3. Candidates must attempt Engineering Entrance Exams to get into the top data science colleges in India, such as JEE Main, JEE Advanced, and GATE.
4. Candidates should have undergraduate degrees in Data Science, Computer Engineering, or another relevant discipline.
5. Candidates will pursue certification programs to gain relevant skills. 
6. Candidates must also pursue post-graduate degrees such as M.Sc Data Science, and M.Tech Data Science.
7. Candidates should have programming languages like R, Python, and SQL candidates can pursue certification courses specializing in programming languages. 

Colleges Offering Data Science

Name of the Colleges	Location	Average Course Fees (INR)
IIT Madras	Madras	1,08,000
Loyola College	Chennai	34,000
Vellore Institute of Technology	Vellore	89,000
Fergusson College	Pune	23,000
Symbiosis International University	Pune	92,000
Narsee Monjee Institute of Management Studies	Mumbai	37,800
Jain University	Bangalore	31,020
Cochin University of Science and Technology	Kochi	42,711
Manipal Academy of Higher Education	Manipal	56,234
Indian Institute of Science Education and Research	Bhopal	70,009

How To Become a Data Scientist After BCA

To become a Data Scientist in 2024, it’s not always necessary to have a BTech degree; candidates with a BCA degree are also eligible. Here are crucial steps for BCA graduates aspiring to become Data Scientists:

1. Enroll in postgraduate courses like MCA Data Science, MBA Data Science, or MBA Data Analytics.
2. Pursue certification or diploma courses in data science.
3. Focus on learning programming languages such as R, Python, Java, Hadoop, Pig, Hive, Spark, SQL, SAS, data modeling, and machine learning.
4. Concentrate on learning optimization, Information, and Decision Theory.
5. Engage in internships and attend workshops to gain both basic and advanced knowledge of a typical corporate setup.

Data Scientist Jobs

Job Profiles	Job Description
Data Analyst	A Data Analyst will examine the data to find significant customer insights and potential uses for the information. They will also advise the company’s management and other stakeholders of this information
Business Analyst	Business Analysts will evaluate an organization’s performance and work with it to enhance its systems and processes. To find solutions to business challenges, they perform research and analysis. They can assist in introducing these solutions to businesses and their customers
Statistical Analyst	They will conduct statistical research, analysis, compile, and interpret statistical records and reports for research projects.
Data Architect	Data Architects are IT specialists who will use their knowledge of computer science and database architecture to assess and analyze an organization’s data infrastructure, create future database plans, and put into practice ways to store and manage data for both businesses and their users
Business Intelligence Manager	They are required to manage a team of business analysts and programmers. Also, they have to generate insights for strategic business decisions.
Data Administrator	Data Administrators or Database Administrators create mechanisms for storing and protecting different types of data, like financial data and customer shipping records.

Salary Provided For Data Scientist

Job Profile	Average Annual Salary (INR)
Data Analyst	4.72 L
Data Solutions Analyst	11.51 L
Business Analyst	6.00 L
Statistical Analyst	6.02 L
Data Architect	16.20 L
Business Intelligence Manager	17.00 L
Data Scientist	9.44 L
Data Administrator	7.96 L

Scope of Data Scientist

The scope of a Data Scientist is vast and continues to grow rapidly as organizations across various industries recognize the importance of data-driven decision-making. Here are key aspects that highlight the scope of Data Science:

1. High Demand: There is a significant and growing demand for Data Scientists across industries such as finance, healthcare, technology, marketing, and more.
2. Diverse Industries: Data Scientists are not limited to a particular industry. They are needed in sectors like e-commerce, healthcare, finance, sports, and government, among others.
3. Decision-Making Support: Data Scientists play a crucial role in helping organizations make informed decisions by analyzing and interpreting complex data sets.
4. Innovation and Research: Data Scientists contribute to innovation by developing and implementing new algorithms, models, and analytical approaches.
5. Artificial Intelligence (AI) and Machine Learning (ML): The increasing integration of AI and ML technologies further expands the scope of Data Scientists as these fields continue to evolve.
6. Business Strategy: Data Scientists often work closely with business leaders, helping them formulate strategies based on data insights and trends.
7. Job Diversity: Data Scientists can specialize in various areas such as natural language processing, and computer vision, or focus on specific industries like finance or healthcare.
8. Global Opportunities: The skills of Data Scientists are in demand globally, offering opportunities for international careers.
9. Continuous Learning: The field of Data Science is dynamic, and professionals need to stay updated with the latest tools and techniques, providing ongoing opportunities for learning and growth.
10. Competitive Salaries: Data Scientists are often well-compensated, reflecting the high demand for their specialized skills.

As organizations increasingly rely on data to gain a competitive edge, the role of Data Scientists is expected to remain crucial, ensuring a promising and evolving scope for those in the field.

Conclusion

Adding Data Science to a BCA degree is like giving your tech skills a turbo boost, making you a pro at crunching data for smarter solutions in the digital world.

Data Science After BCA- FAQs