Study Overseas | How To

Introduction

Data science shines as a bright light of innovation and problem-solving in our contemporary, technologically-driven world. You've found the correct blog if you graduated from high school not too long ago and are fascinated by the diverse opportunities available in the field of data science. This comprehensive guide is intended to serve as your road map, providing you with in-depth insights into the courses, required skills, eligibility criteria, and the varied employment environment both in India and overseas.

What is Data Science?

Data science is a multidisciplinary field that aims to get useful insights from both organised and unstructured data. At its foundation, data science focuses on extracting patterns and trends from data. Data scientists work at the intersection of statistics, mathematics, and computer science, employing a wide variety of methods to analyse and interpret big datasets. The results of their study are used as input in crucial decision-making processes in a variety of fields.

What Skills are required to Study Data Scientists?

Becoming a proficient data scientist necessitates a blend of technical prowess and soft skills.

Technical Skills:

• Programming Proficiency (Python, R): Mastering these languages is fundamental for data manipulation and analysis.
• Statistical and Mathematical Aptitude: Understanding statistical models and algorithms is crucial for effective data interpretation.
• Data Visualization: The ability to present complex data in a comprehensible manner is indispensable.
• Machine Learning: Familiarity with machine learning algorithms enhances predictive modelling capabilities.

Soft Skills:

• Analytical Thinking: The capacity to analyze and interpret complex datasets critically.
• Innovation: A creative mindset to devise novel solutions to intricate problems.
• Active Learning: The ability to adapt to evolving technologies and methodologies.
• Effective Communication: Conveying data-driven insights clearly to non-technical stakeholders.
• According to the World Economic Forum, the top skills for 2023 include analytical thinking, innovation, active learning, and technology use.

Data Science Courses After 12th

After graduating from high school, prospective data scientists have access to a variety of educational opportunities. These classes, which range in length and subject matter, provide students with access to a vast array of information and abilities.

Bachelor's Programs

Bachelor of Science in Data Science (Duration: 3-4 years):

• Notable Institutes: IITs, BITS Pilani
• A comprehensive curriculum covering data analytics, machine learning, and statistical modelling.
• The Bureau of Labor Statistics projects a 22% growth in employment for computer and information research scientists by 2030.

Bachelor of Technology in Data Science and Artificial Intelligence (Duration: 4 years):

• Notable Institutes: IIIT Hyderabad, NIT Trichy
• Melds technology with data science for a holistic approach.
• The demand for AI professionals, including data scientists, is expected to increase by 16% from 2020 to 2030

Diploma Programs

Diploma in Data Science and Machine Learning (Duration: 6 months - 2 years):

• Notable Platforms: Manipal ProLearn, UpGrad
• Shorter duration with a focus on practical applications.
• The data science market is expected to grow at a CAGR of 30.08% from 2020 to 2025.

Best Countries & Universities to Study Data Science Abroad

For those with aspirations to study abroad, numerous esteemed institutions offer exceptional data science programs abroad.

1. Bachelor of Science in Data Analytics (USA):

• MIT and Stanford: Globally recognized for their rigorous programs and research contributions.

2. Bachelor of Computer Science with Data Science Specialization (Canada):

• University of Toronto and University of British Columbia: Known for their robust computer science departments.

3. Data Science and Artificial Intelligence BSc (UK):

• University of Oxford and Imperial College London: Institutions offering cutting-edge data science programs.

Eligibility Criteria for Data Science Courses

Understanding the eligibility criteria for data science courses is crucial for aspiring students. While specific requirements may vary among institutions, there are common aspects that one can expect.

1. Educational Qualifications:

a. Bachelor's Programs:

For a Bachelor of Science in Data Science or related degrees:

• Successful completion of 10+2 or equivalent from a recognized board.
• A strong foundation in mathematics is often a prerequisite. Courses like calculus and statistics are commonly required.

For a Bachelor of Technology in Artificial Intelligence and Data Science:

• 10+2 with Physics, Chemistry, and Mathematics (PCM) is a typical requirement.
• Some institutes may have specific subject-wise marks criteria.

b. Diploma Programs:

• A high school diploma or its equivalent is generally the minimum requirement.
• Certain diploma programs may have specific subject requirements, emphasising mathematics or computer science.

2. Minimum Marks Requirement:

a. Bachelor's Programs:

• Many institutions have a minimum marks requirement in the 10+2 examination. This requirement can vary, but competitive programs often seek students with high academic performance.

b. Diploma Programs:

• While diploma programs may be more lenient in terms of academic requirements compared to bachelor's programs, a competitive edge is often gained with a strong academic background.

3. Mathematics Proficiency:

a. Bachelor's Programs:

• As data science heavily relies on mathematical concepts, a certain level of proficiency in mathematics is commonly required. Institutes may specify subjects like calculus, algebra, or statistics.

b. Diploma Programs:

• While not as stringent as bachelor's programs, having a basic understanding of mathematical concepts is beneficial for success in a data science diploma.

4. Entrance Exams:

a. Bachelor's Programs:

Some institutions require students to clear specific entrance exams. For example:

• IITs often admit students based on the Joint Entrance Examination (JEE).
• BITS Pilani conducts the Birla Institute of Technology and Science Admission Test (BITSAT).

b. Diploma Programs:

• Entrance exams may not be as prevalent for diploma programs, but certain institutions might have specific assessments or interviews.

5. Language Proficiency:

a. Bachelor's Programs Abroad:

• If you are considering studying data science abroad, English language proficiency tests like TOEFL or IELTS may be required, especially if the medium of instruction is English.

6. Age Criteria:

• Some institutes may have age restrictions, though this is less common. It's essential to check specific institute requirements.

7. Pre-requisite Skills:

• Demonstrating an interest or proficiency in programming languages like Python or R can be advantageous.

How to Study Data Science after 12th Abroad?

Choosing to pursue your education in data science overseas opens up a world of possibilities, but you must do so in a methodical manner:

1. Research and Create a Shortlist of Universities:

• Find universities that are well-known for the data science programmes they offer. These include the Massachusetts Institute of Technology (MIT), Stanford University, the University of Toronto, and Imperial College London.
• Think on things like the competence of the teachers, the opportunity for research, and the connections industry has.

2. Make Sure You Meet the Requirements to Get In:

• It is important to have a thorough understanding of the individual admission standards, which often consist of academic requirements, language proficiency tests (such as the IELTS or TOEFL), and letters of recommendation.
• A statement of purpose that outlines your academic and professional objectives may be required by certain universities.

3. Learn about the Scores needed:

• If necessary, you should be ready for standardised tests like the SAT and ACT and then take them.
• It is possible that you will be required to take subject-specific examinations in mathematics or computer science at the university that you attend.

(Read More: SAT vs. ACT: which exam is the best for overseas education?)

4. The procedure for making applications:

• To finish the application process, you will need to submit all of the appropriate documents. These will include your academic transcripts, letters of recommendation, and an engaging personal statement.
• Be mindful of the deadlines for the applications, and make sure that all of the materials are filed in plenty of time.

5. Application for a Visa:

• After you have been accepted, you can begin the process of applying for a visa. This often entails presenting evidence of acceptance into the programme, demonstrating financial stability, and satisfying particular visa conditions.
• Maintain current knowledge of any changes in the laws governing immigration.

Career Prospects in Data Science after 12th in India

In India, the field of data science is experiencing rapid growth, and career prospects are diverse:

1. Data Scientist:

• Data scientists are in high demand across a variety of businesses in India, including information technology (IT), banking, healthcare, and e-commerce.
• Strong data science teams can be found in companies such as TCS and Infosys, as well as Amazon.

2. Data Analyst:

• There is an abundance of entry-level work available in the field of data analysis, allowing enough possibilities to gain experience in the manipulation and examination of data.

3. Machine Learning Engineer:

• Engineers with expertise in this area are becoming increasingly important for the creation of intelligent systems due to the growing prevalence of machine learning.

4. Business Intelligence Analyst:

• Professionals in business intelligence contribute significantly to informed decision-making, with roles in companies like Accenture and Deloitte.

5. Data Engineer:

• Data engineers play a pivotal role in designing and maintaining the infrastructure necessary for data generation and analysis.

6. Start-up Opportunities:

• The start-up environment in India provides several chances for data scientists to participate in the development of innovative initiatives in a variety of fields, including edtech, fintech, and health tech.

(Read More: Top Universities in USA to study Data Science)

Career Prospects in Data Science after 12th Abroad

Internationally, data science continues to be a thriving field with a multitude of career paths:

1. Data Scientist:

• Tech behemoths such as Google, Facebook, and Microsoft, in addition to industry leaders in finance and healthcare, are among the many companies that are aggressively recruiting data scientists throughout the world.

2. Research Positions:

• Opportunities for research roles in universities and research institutions, contributing to advancements in the field.

3. Consulting Roles:

• Data scientists are employed by management consulting organisations such as McKinsey and Accenture to give clients all around the world with insights and solutions.

4. Government and Non-Profit Organizations:

• Opportunities to work with government agencies and non-profit organizations on projects with societal impact.

5. Entrepreneurship:

• Data scientists have access to an environment that encourages innovation and the creation of new businesses thanks to the proliferation of start-ups in Silicon Valley and other worldwide hotspots.

Data Science Scope Abroad

The scope of data science abroad extends beyond conventional industries

1. Artificial Intelligence (AI):

• Possibilities to work on cutting-edge artificial intelligence projects and contribute to developments in disciplines such as natural language processing and computer vision.

2. Big Data Analytics:

• In-depth exploration of big data analytics, handling vast datasets to extract meaningful insights.

3. Internet of Things (IoT):

• Integration with IoT, contributing to the development of smart devices and systems.

4. Blockchain Technology:

• Exploration of data science applications in blockchain, particularly in finance and cybersecurity.

Data Science Salary Abroad

The salaries of data scientists in other countries might vary widely depending on a variety of characteristics including experience, education level, and geographic location:

1. United States:

• The average annual salary for data scientists in the U.S. is around $96,000, with higher figures in tech hubs like Silicon Valley.

2. United Kingdom:

• In the UK, the average salary is approximately £45,000 per year.

3. Canada:

• Data scientists in Canada earn an average of CAD 80,000 per year.

4. Australia:

• In Australia, the average salary is around AUD 110,000 per year.

5. Germany:

• Students who pursue master’s in Data science in Germany earn an average of €60,000 per year.

The amount of experience and skill a person has can have a big impact on their salary, and many businesses also provide additional bonuses and advantages.

FAQ’s

1. Can I get a job in data science after completing my secondary education without having a background in computer science?

A: Yes, students with a wide range of academic experiences can enroll in a number of different data science programmes. Having a solid background in mathematics, on the other hand, is typically required for entry.

2. If I want to study data science overseas, do you know if there are any scholarships available?

A: Scholarships are available to students studying abroad from a wide variety of institutions and organisations. It is highly recommended to get information about possible scholarships by contacting the respective educational institutions.

(Read More: Best Career courses after 12th commerce without maths)

3. In general, how long does it take to complete a data science course after the 12th grade?

A: There is no standard length for the duration of data science classes. Programmes leading to a bachelor's degree normally take three to four years to complete, whereas programmes leading to a diploma might span anywhere from six months to two years.

4. What percentage of applicants are accepted into major colleges around the world that offer degrees in data science?

A: Because of their selective admissions policies, prestigious universities such as MIT and Stanford tend to have low acceptance rates (for example, MIT's acceptance rate is approximately 6.7%), which highlights the importance of having great academic achievement and submitting competitive applications.

5. If I didn't take math classes in high school, will I still be able to pursue data science when I graduate from high school?

A: Even while applicants to programmes in data science are often given preference if they have a background in mathematics, certain universities may provide courses in basic mathematics as part of their curriculum. Before beginning the programme, it is strongly suggested that the specific admission requirements of the chosen institution be reviewed, and it is also a good idea to consider brushing up on mathematical principles.

Conclusion

After finishing one's secondary education, one could embark on an exciting adventure to become a data scientist. Aspiring data scientists will be able to personalise their education to their own interests and professional objectives thanks to the wide variety of courses that are offered in India as well as in other countries. You can uncover a world of opportunities in this dynamic industry if you have the necessary abilities, qualifications, and a passion for data. This field is expanding quickly and has a lot of room for growth. The subject of data science is eagerly awaiting the contributions of the next generation of talented professionals, and this is true regardless of whether you decide to further your education in your own nation or go overseas. The path may not be straightforward, but if one is committed and persistent, the reward at the end of it is without limit.