Taking on a journey into the realm of data science right out of high school is an exciting prospect! If you are tech-savvy and want to partake in the digital landscape that is ever-evolving and the demand of which is surging, Data Science Courses after your 12th is just for you! The need of the hour is skilled data scientists. Data Science is more than just scary terminologies like Artificial Intelligence, Machine Learning and Big Data. In this blog, you will understand the transformative potential of data science in our lives.
Field Name | Data Science |
Level | Undergraduate and Postgraduate |
Eligibility | High School graduation in Computer Science, Mathematics, Statistics, etc. |
Job Opportunities | Data Scientist, Data Analyst, Data Engineer, Statistician, Business Intelligence Analyst |
This Blog Includes:
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What is Data Science?
A simple analogy, Data Science is like being Sherlock in the digital age. Suppose you have a huge puzzle (data), with numerous pieces and each piece of the puzzle holds valuable information. Data Scientists use their acquired skills to gather, organise and analyse these pieces to reveal meaningful insights and patterns. This in turn helps businesses predict future trends, make better decisions and solve complex problems. Data Science takes raw data and turns it into valuable knowledge.
To put it in Data Science terminologies, it is a multidisciplinary field that involves extracting knowledge and insights from structured and unstructured data. Data Science combines expertise from multiple domains like computer science, statistics and mathematics as well as domain-specific knowledge to interpret and analyse complex data.
What do Data Scientists do?
The world of data science has evolved from Chandler Bing being an unmemorable data processor to this day where Data Scientists are revered and they utilise a range of techniques that include machine learning, statistical analysis, programming and data mining so as to extract meaningful insights from data. You will work with large volumes of data with tools and programming languages to clean, preprocess and analyse information. The insights derived from data science can be applied across various fields including healthcare, business, finance, and more to drive innovation and enhance the decision-making process.
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Key Tools for Data Science
You will learn numerous tools and techniques to extract insights from data, some of which are:
- Data Visualisation Tools: Tableau, Power BI and Matplotlib
- Programming Languages: R, Python, and SQL
- Machine Learning Libraries: TensorFlow, Scikit-learn
- Cloud Computing Platforms: AWS, Azure and Google Cloud Platform
- Data Storage and Management Systems: MySQL, MongoDB and PostgreSQL
Must Read: Uses of SQL in Data Science and Businesses
Why Should You Apply for a Data Science Course after your 12th in 2023?
Here is why you should apply for a Data Science Course after your 12th in 2023:
- High Demand: There is a high demand for Data Scientists thus making it a great potential career choice for you.
- Technological Advancements: The Data Science field is growing and constantly evolving as new methodologies and technologies are emerging day by day.
- Growth: The projected growth is expected to sky-rocket down the road and so are the paths related to data science.
- Flexibility: Data Scientists are needed in numerous industries which inversely provides flexibility in choosing a career path.
Popular Data Science Courses after 12th
- Certificate in Applied Data Science
- Bachelor of Science in Data Science
- Bachelor of Computer Science in Data Science (Honours)
- Bachelor of Science in Computer Science- Computational Data Science
- Master of Science in Data Science
- Master of Science in Computer Science- Artificial Intelligence and Data Science
- Master of Science in Computer Science- Data Science in Biomedicine
- Master of Engineering in Electrical and Computer Engineering- Data Science
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Top Colleges for Data Science Courses Abroad
These are some of the top Study Abroad colleges for Data Science Course after 12th:
Institute | QS World University Ranking | Courses Offered |
Georgia State University,USA | 801-1000 | Bachelor of Science in Data Science |
University of Pittsburgh,USA | 181 | Bachelor of Science in Data Science |
Wichita State University,USA | NA | Bachelor of Science in Data Science |
Bowling Green State University,USA | NA | Bachelor of Science in Computer Science- Computational Data Science |
University of Waterloo,Canada | 154 | Bachelor of Computer Science in Data Science (Honours) |
University of Regina,Canada | 1001-1200 | Bachelor of Science in Data Science |
Indiana University- Purdue Univeristy Indianapolis,USA | 801-1000 | Certificate in Applied Data Science |
Simon Fraser University,Canada | 328 | Bachelor of Science in Data Science (Honours) |
Brock University,Canada | 1001-1200 | Bachelor of Science in Data Science and Analytics (Honours) |
Carleton University,Canada | 601-650 | Master of Engineering in Electrical and Computer Engineering- Data Science |
Western Michigan University,USA | 1001-1200 | Master of Science in Data Science |
University of Colorado-Denver,USA | 428 | Master of Science in Computer Science- Data Science in Biomedicine |
University of Central Missouri,USA | NA | Master of Science in Computer Science- Artificial Intelligence and Data Science |
University of Connecticut,USA | 350 | Master of Science in Data Science |
University of Massachusetts-Dartmouth,USA | NA | Master of Science in Data Science |
Also Read: MBA in Data Science
Admission Process
As there are numerous courses available, the application process would depend on factors like the university, country and the course you will apply to. Although, your academic transcripts, letter/s of recommendation, a portfolio showcasing your projects and experience, and an English language proficiency test like TOEFL, IELTS, etc. will be a must.
Eligibility
Data Science consists of more practical experiences and each course has numerous criteria. Here is a general overview of the requirements you would need to fulfil.
- Completion of your High school education with very good grades or an equivalent qualification with a very strong foundation in mathematics, computer science or a related field.
- A proof of your English Language proficiency through examinations like TOEFL or IELTS.
- Pertaining to the university, you would need to appear for specific Entrance Examinations or Aptitude Tests.
- Prior Programming Experience
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Documents Required
- Academic Transcripts and Certifications.
- A Portfolio that includes all your experiences and projects related to your programming capabilities and your strengths.
- A Letter/s of Recommendation(LOR).
- A refined Statement of Purpose(SOP).
- A completed Application Form.
- Passport
- Resume/CV
- Visa
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Data Science Course Syllabus
As the syllabus would vary from university to university and the course that you opt for. Here is a brief syllabus for a Bachelor of Science in Data Science from the University of Pittsburgh, USA:
Foundation
- Data Science Foundations
- Intermediate Programming
- Algorithms and Data Structures 1
- Calculus 1
- Calculus 2
- Intro to Matrices/Linear Algebra
- Applied Discrete Mathematics
- Intro Probability
- Intro Mathematical Statistics
Expertise
- Social Implications of Computing Technology
- Algorithms and Data Structures 2
- Introduction to Data Science
- Introduction to Machine Learning or Learning and Data Science
- Optimization
- Principles of Data Science
Specialization: (You would need to take 3 courses from the following 4 speciality areas)
- Computer Systems
- Data Analytics
- Data Science in Context
- Modeling
Capstone Project: (You would need to complete one of the 3 courses)
- Project Studio
- BIG Problems
- Data Science in Action
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Job Opportunities
There are numerous opportunities that will unfurl after your completion of a Data Science course after 12th. Here is a list of some of them:
Data Scientist | Data Analyst |
Data Engineer | Data Architect |
Data Visualisation Specialist | Statistician |
Business Intelligence Analyst | Database Administrator |
Also Read: The Beginners Guide to Understand Data Exploration
Top Recruiters
Here are some of the top industry recruiters after your Data Science Course after 12th:
- Technology
- Healthcare
- Finance
- Retail
- Manufacturing
- Automotive
- Aerospace
- National Security
- Consulting
- Research and Academia
Also Read: Career in Data Analytics
FAQs
Yes, a 12th pass-out can definitely become a data analyst through a Data Science Course after your 12th. Undergraduate courses like Bachelor of Science in Data Science and Bachelor of Science in Computer Science- Computational Data Science can help you become a Data Analyst.
After completing your 12th in computer science, mathematics or a related field according to the university of your choice. And then further an undergraduate course in Data Science.
12th marks might not matter to the college if your Projects and Experiences showcase your potential and innovation.
Lastly, I hope that you have found the necessary information that you have been looking for related to Data Science Courses after 12th. If this blog is helpful and you want to begin your journey, you can contact us at Leverage Edu and our mentors would be happy to guide you through the process and also help you understand the field of your choosing.