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Diploma in Data Science for Indian students

The principle of using the combination of mathematics, statistics, specialised programming and artificial intelligence to analyse large amounts of data in organisations is called Data Science. Organisations use Data Analytics to grow their business and increase customer satisfaction. There are various techniques used in Data Science to find unseen patterns, produce meaningful information, and make business conclusions.

Where and How is Data Science Used?

The enormous amount of information that is available online presents opportunities for industries to grow Data Science. Healthcare, e-commerce, finance, technology, logistics, etc. take insights from data science and help businesses to make strategic decisions.

Healthcare and pharmaceuticals:

Data Science is revolutionising the field of healthcare. This is done by providing quality healthcare, improving the quality of drug development processes and boosting operational efficiency.

ECommerce and Retail:

Data Science has become an integral part of the ECommerce sector. They bring in a lot of innovation and boost the efficiency of operations. By using Data Science Analytics they can provide personalised service to their customers, optimise operations and make informed decisions.

Finance:

The application of Data Science has revolutionised the finance industry. This is done by giving advanced Data Analytics Tools that drive decision-making, algorithmic trading, risk management, operational efficiency, and offering good customer service.

Technology and Social Media:

One of the main industries that is leaping on a higher scale with the help of data science and analytics is the Technology and Social Media sectors. They help boost innovation, enhance the experience of the users and provide valuable insights into huge amounts of data generation regularly. It helps social media platforms to stay competitive, relevant and responsive in the world of a swiftly changing digital environment.

Transportation and Logistics:

Data Science plays an important role in the Transportation and Logistics industry. This is done by optimising the operations, enhancing efficiency, improving service delivery, making informed decisions, and improving customer satisfaction. It will help companies to respond to changing business conditions, use the resources to the maximum extent, and provide the best customer service.

Sports:

One of the areas in Data Science is making a game-changer would be the world of sports. It offers the layers, coach, and team members the insights of a prospective game. This will help them to prepare well and improve their performance and strategy towards the game.

Why is Data Science Courses Popular?

The Data Science course is popular due to the following reasons.

  • Many organisations are investing in data-driven decision-making. They need skilled data analysts to analyse and interpret the data.
  • Skilled data analysts are in great demand. It is a perfect method to have a lucrative career. This makes it an attractive career choice.
  • The skills of Big Data are applicable in various industries like healthcare, marketing, and technology. Versatility is one of the important criteria of a data analyst.
  • Technology is evolving at a fast pace. Data Science Courses are easily accessible to individuals throughout the world. This makes it easier for individuals to acquire the skills and knowledge required to pursue the course.
  • Working on a large set of data to reveal the patterns is one of the foremost tasks in Data Science. Data Scientists have the opportunity to work on important projects with a real-world impact.

Also Reads: MBA in Data Science

Diploma in Data Science

A Diploma in Data Science is a 1-2 year course that will help you to learn the skills that are required in the field of data science. A diploma in Data Science is a perfect gateway in the field of data science. The course provides the students with the foundational and tactical knowledge that is required in the field of data science. Some of the special skills that are acquired by the students through the course are data analysis, big data, machine learning, artificial intelligence, etc. Both theoretical and tactical knowledge is imparted to the students in this course. This makes it a popular choice for aspiring data professionals.

Diploma Data Science Course Syllabus

A data science course can be learnt offline, online or in a hybrid mode. An online course will be quite helpful for working professionals. A diploma in data science is an excellent way to gain entry into a professional work environment. It is also a great way for people who are interested to look for a career shift. It is not easy to provide a list of all the subjects you may be entitled to study. However, we have given below a list of subjects you may need to study. It should be noted that you may not need to study all these subjects.

  • Introduction to Data Science
  • Machine Learning
  • Algorithms used in Machine Learning
  • Data Structures and Algorithms
  • Optimisation Techniques
  • Matrix Computations
  • Experimentation, Evaluation and Project Deployment Tools
  • Applied Mathematics and Informatics
  • Business Acumen and Artificial Intelligence
  • Mathematical and Statistical Skills
  • Coding
  • Statistical Foundations for Data Science
  • Scientific Computing
  • Data Visualisation
  • Scholastic Models
  • Predictive Analytics and Segmentation using Clustering
  • Exploratory Data Analysis

Top Destinations to Study Diploma in Data Science Abroad

A Diploma in Data Science is one of the oft-chosen Diploma courses abroad. The wide career opportunities for the course have led to its popularity. Below are a few countries where you can choose to Study Diploma in Data Science.

  • The USA
  • The UK
  • Australia
  • Canada
  • New Zealand
  • Ireland
  • Germany
  • Dubai

Eligibility to Diploma in Data Science

The eligibility for students to enrol for a Diploma in Data Science for Indian Students at a study abroad university varies widely between universities. But the following are some of the general requirements that a student needs to follow to pursue their course in Data Science.

  • Completion of High School with good grades. Along with this, you need to have maths and science as the main subjects.
  • In case the program is for professionals, a few years of work experience in the related field along with a graduation certificate is required.
  • Familiarity with some programming languages like Python, R, or SQL will be an added advantage.
  • For non-native English speakers, proficiency in English is required. This can be exhibited through TOEFL, IELTS, and PTE tests.
  • Universities might require the students to submit their GRE/GMAT scores.
  • A letter of recommendation from any of the senior professors where the student has studied previously.
  • A SOP explaining why and how this course will be a valuable addition to your career needs to be submitted.
  • A CV/Resume that lists in detail the academic background, and work experience, along with the relevance of the project or skills.

Diploma in Data Science Courses

The following is the list of universities that are offering Diploma in Data Science courses for Indian Students. They are:

University Name

Duration

Program

MIT

1 Year

MIT Professional Data Science Program

Stanford University

1-2 Years

Stanford Data Science Graduate Certificate

University of Oxford

1 Year

Postgraduate Diploma in Data Science

University of Cambridge

1 Year

Graduate Diploma in Data Science

University of Toronto

1 Year

Data Science Diploma program

University of Melbourne

1-1.5 Years

Graduate Diploma in Data Science

University College London 

1 Year

Graduate Diploma in Data Science

Data Science Jobs

Some of the most sought-after jobs after securing a diploma in data science for Indian Students would be

Job Roles

Salary (In INR)

Data Scientist

Rs. 7,00,000 to 20,00,000

Data Analyst

Rs. 4,00,000 to 9,00,000

Machine Learning Engineer

Rs. 8,00,000 to 22,00,000

Data Engineer

Rs. 5,00,000 to 15,00,000

Data Architect

Rs. 10,00,000 to 25,00,000

Quantitative Analyst

Rs. 8,00,000 to 22,00,000

AI Engineer

Rs. 8,00,000 to 20,00,000

Conclusion

The field of Data Science is vast and has a high potential. Many students and professionals who are in their mid-career range take a career shift towards Data Science. This is possible with a Diploma in Data Science course. We have listed the best details regarding the universities offering Data Science courses abroad. Please get in touch with our AECC counsellors regarding your career guidance when starting your journey in the field of Data Science.

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