Data Science Course Admission, Fees, Duration, Syllabus and Jobs


The new world that is driven by data and heavily reliant on technology demands data science expertise. The increasing demand for data science professionals also is reflective of the massive digital adoption by businesses across varied sectors. It signifies how digital data is reshaping businesses and assisting them in making more informed decisions. 

There is a massive surge for demands for data scientists in a variety of industries to fulfill the inherent need for brains with the caliber to wrangle data and to help bring about new information and developments, which will ultimately empower corporations with data-driven decisions.

Know Your Way Around Data Science Vocation for a Smooth Learning Experience

For aspiring individuals and prospective candidates, it is ideal that they have a neatly planned out career trajectory in order to venture into the field. More importantly, having the grasp and information on the few requisite details will help them a lot. Let us discover the bits and pieces of information that concern taking up a data science professional course.

Data Science Courses

With the spike in demand for data science experts, many educational institutes focused and integrated data science courses and education in their academic programs. 

The goal of the data science course is to teach students how to use data science tools, algorithms, and machine learning principles to extract usable information from unstructured data. Interested individuals need to upskill and program themselves to be able to dive into the field. Typically, such programs are appropriate for anyone falling under the following :

  • Data scientist aspirants

  • Business leaders who are looking to data science to help them alter their organizations across teams.

  • Professionals who are interested in learning about Data Science approaches and putting them into practice to meet team/organizational objectives.

  • Project Managers who aspire to lead data-driven initiatives and teams in their company.

  • Professionals who want to lead data-driven disruptions in many industries, such as retail, pharmaceuticals, healthcare, and material sciences.

Procedures for Data Science Course Admission

To be admitted to a Bachelor's degree program in Data Science, students must have completed high school courses in physics, chemistry, and maths. It would be beneficial if somebody had a computer application as well. A Bachelor's degree in a relevant discipline from a recognized university is required for entrance to the Masters of Data Science program. Everyone can take an online course. Some institutions need an admissions test, while others accept students based on their grades in high school or college. You must correctly fill out the application forms, either online or offline and submit them on time. To avoid further issues, make sure you have all of your paperwork on hand.

For getting admission to the conventional Bachelors or Masters degree in Technology I. e B.Tech / M.Tech one has to sit for the common entrance exam and get through merit-based selection or through JEE and scores in GATE

Data Science Course Duration: 

A bachelor's degree in data science takes three years to complete, while a master's degree takes two years. The PG Diploma program for professionals, on the other hand, lasts one year. Online certification courses take three to six months to complete. However, there may be a little variation in the duration of the online courses depending on the institute that one chooses and the course programs. Typically,  data science online certification course duration ranges from 4-12 months.

Eligibility for Data Science Courses

Data science courses are taken by students with backgrounds in engineering, economics, statistics, mathematics, and computer science. Data science courses are also open to students with non-traditional backgrounds, such as finance or management.

The fundamental data science course qualifying criteria are a Class 12 for bachelors in data science with a 50 percent aggregate grade and understanding of basic mathematics and statistics concepts.

When applying for a master's degree in data science, candidates must have a minimum of 50% in their undergraduate degree (engineering/maths/science/commerce/economics/finance) and have a basic understanding of programming languages such as Python, C, C++, Java, or R, which have major applications in data science.

Graduates of data science should be able to write a basic SQL query and understand machine learning and its techniques in order to be ideal candidates for data science jobs.

Data Science Course Fee

The fee structure of data science courses varies depending on various factors. It expenditure for learning or taking up a data science course will depend on the nature of your learning path, as there are different structures for a conventional college degree or a Diploma and certification course. Also, the nature of the institution matters when it comes to data science course fee structure as there is a huge variation between a government-run institute and a private institute. 

The cost of a BSc in Data Science varies from 3 lacs to 6 lacs, depending on the location and reputation of the college. The average cost of a master's degree in data science is between 20000 and 4 lacs. Depending on the institution, however, the course tuition can go up to 20 lacs.

Data Science Course Syllabus

Data science is a broad field. There are numerous subjects to discuss. Every university and training agency has its own curriculum, but the fundamental disciplines are all very similar. Big Data, Machine Learning, and Data Science Modeling are the three core components of the Data Science course syllabus. The subjects in these three main components cover a wide range of topics in this highly sought-after discipline. The following is the entire Data Science Syllabus:

  • Data Science Introduction and Foundation 

  • Statistical and Mathematical Skills

  • Machine Learning 

  • Coding 

  • Algorithms in Machine Learning 

  • Data Science Statistical Foundations

  • Algorithms & Data Structures

  • Techniques for Scientific Computing Optimization

  • Visualization of Data

  • Computations on Matrixes

  • Models for Students

  • Toolkits for Experimentation, Evaluation, and Project Deployment

  • Clustering for Predictive Analytics and Segmentation Applied Mathematics and Informatics

  • Analyze exploratory data

  • Artificial Intelligence & Business Acumen

Data Science Jobs

In the world of information technology, a data scientist is an intriguing career option. They are the ones that are constantly coming up with new strategies to find the ideal data from the billions of data available on the internet. There's still a lot to learn about big data, and we're nowhere near the end of it. As a result, startups and large corporations will continue to hire Data Scientists to solve their business difficulties.

Following are some of the employment opportunities available after completing the Data Science course:

  • Manager of Analytics

  • Analyst (Business)

  • Analyst for Business Intelligence

  • Analyst of Data

  • Data Analyst

  • Analytics Director

  • Analyst of Information

  • Scientist in charge of research

  • Data Analyst, Senior

  • Statistician

Data science is crucial for businesses since it has led to outstanding solutions and smart decisions in a variety of industries. Aspirants already have the tools they need to start their career journey in this exciting new world of opportunity with these insights. It's critical to not only complete all of the technical stages but also to address the broader questions of why someone wants to pursue this professional path and what they want to gain from their new endeavor. Then and only then will they be able to fully appreciate the advantages and potential of this new and developing field.

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