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Data science is a dynamic field with a high demand for skilled professionals. However, pursuing a top-notch data science course requires fulfilling certain eligibility criteria. Are you aware of these requirements? Don't worry! This comprehensive page will provide all the information you need about the eligibility criteria for data science courses. Join us and unlock the door to a successful career in data science!
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Check out the comprehensive guide on the eligibility criteria for various data science courses offered by Great Learning.
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Great Learning offers several top data science certificate courses to suit various needs and skill levels. The eligibility criteria for these courses may vary depending on the specific program and its requirements.
Here is detailed information on the eligibility criteria for each course to help aspiring data scientists meet the requirements and succeed in their careers:
Course Name
University
Eligibility Criteria
The University of Texas at Austin (UT Austin) McCombs School of Business
A bachelor's degree in computer science, IT, statistics, STEM (science, technology, engineering, and mathematics), or any other related field
PG Program in Data Science and Business Analytics (Classroom)
Great Lakes Executive Learning
Data Science and Machine Learning
Massachusetts Institute of Technology Institute for Data, Systems, and Society (MIT IDSS)
Data scientists, data analysts, and working professionals who want to extract
actionable insights from massive volumes of data
Early career professionals and senior managers, such as technical managers, BI analysts, IT practitioners, management consultants, and business managers
Those with some academic/professional background in statistics/applied mathematics. Nevertheless, participants without this experience will need to put in extra effort and will receive assistance from Great Learning
PG in Data Science (Online)
Bachelor’s degree and a minimum grade point average of 60% in 10th and 12th grades
Final semester students, graduate students, and working professionals with 0-3 years of experience
Best candidates for the course: A degree in engineering, commerce, sciences, statistics, mathematics, economics, and other related fields
PG in Data Science (Bootcamp)
MS in Data Science (Online)
A 4-year U.S. bachelor’s degree or equivalent
For students with a 3-year bachelor’s degree:
> Students who didn’t complete their degree in the U.S.: Their transcript evaluation must state that their degree is equivalent to a 4 year U.S. bachelor’s degree
> Students who completed their degree in the U.S.: They must possess a 4-year bachelor’s degree
The medium of instruction for the candidate’s bachelor’s degree must be English. If not, they would need to give an English language proficiency test like IELTS/TOEFL
Master of Data Science - 24 Months
Deakin’s minimum English language requirement
Minimum 3-year bachelor’s degree in a related discipline
Minimum 3-year bachelor’s degree in any discipline with at least 2 years of professional experience
Master of Data Science - 12 Months
Candidates must have completed either PGP-DSBA or PGP-AIML offered by UT Austin and Great Learning
Decision-Making Using Data Science
National University of Singapore (NUS) Business School
Senior working professionals with at least 3 years of experience
Data Analytics Course With Placement
Great Learning Career Academy
Fresh graduates who passed out in the year 2021 or after and wish to launch their careers in data analytics
Students in their final semester who are looking to be placed in top-notch companies
Basic knowledge of mathematics: Linear algebra, calculus, & Probability
Proficiency in programming: Python/R & SQL
Familiarity with statistics: Hypothesis testing & regression analysis
Understanding of machine learning concepts and algorithms
Knowledge of big data technologies: Hadoop & Spark
Experience with data visualization tools: Tableau & Matplotlib
IT/Software Professionals
Business Professionals
Engineers & Scientists
Entrepreneurs
Undergraduate/Graduate Students
Data Enthusiasts
To excel in a data science course and pursue a career in this cutting-edge field, several key qualifications are highly valued:
Academic Qualifications
A bachelor's or master's degree in a relevant field, such as computer science, mathematics, statistics, science, technology, or engineering, provides a strong foundation in quantitative analysis, programming, and data management. These skills are essential for success in the data science discipline.
Practical Experience
Hands-on experience with data analysis methods and programming languages is also highly valued. It includes proficiency in popular programming languages like Python, R, and SQL and experience working with various data analysis processes like data cleaning and data visualization. Having practical experience with real-world data problems is vital for building valuable skills.
Industry-Specific Knowledge
Industry-specific knowledge is also essential, depending on the area of data science you are interested in. For instance, if you are interested in data science for finance, a background in finance and accounting may be beneficial. Understanding your chosen industry's specific challenges and opportunities will help you apply data science techniques more effectively.
At Great Learning, the eligibility for data science often requires the prospective learner to have a Bachelor's degree in a related field like STEM (science, technology, engineering, and mathematics), statistics, economics, computer science, or IT. However, it can vary depending on the complexity and level of the specific course.
Not necessarily. While having knowledge of technology can be beneficial, the core eligibility for data science involves having an analytical mindset and a willingness to learn. Many of the courses provide the foundational knowledge necessary for a successful career in data science.
The data analyst course eligibility usually requires a Bachelor's degree and some basic knowledge of statistical concepts. However, the data analyst course from Great Learning is designed to be comprehensive and accessible, even for beginners with minimal prior knowledge.
The eligibility criteria for a data science course at Great Learning typically include a Bachelor's degree in a relevant field and a basic understanding of mathematical concepts. However, the requirements vary between programs, and we recommend checking the specific course page for accurate details.
PG Program in Data Science and Business Analytics - UT Austin
PG Program in Data Science and Business Analytics (Classroom) - Great Lakes
Data Science and Machine Learning - MIT IDSS
PG in Data Science (Online) - Great Lakes
PG in Data Science (Bootcamp) - Great Lakes
MS in Data Science (Online) - Northwestern University
Master of Data Science - 24 Months - Deakin University
Master of Data Science - 12 Months - Deakin University
Data Analytics Course With Placement - Great Learning Career Academy
Great Learning doesn't set any age restrictions for its courses. The eligibility for a data science course is mainly based on educational background and a desire to learn.
While knowledge of programming languages such as Python or R can be beneficial, it is not a strict eligibility criterion for our data science courses. Many of the programs include modules that teach these languages from the basics.
Some advanced data science courses may require a few years of work experience but are not necessary for all the programs. Great Learning has a range of programs suitable for both freshers and experienced professionals.
Yes, you certainly can. At Great Learning, we believe in making education accessible. So, even from a non-technical background, your eligibility for data science is not affected as long as you have a passion for learning and problem-solving.
The essential eligibility criteria for a data science course at Great Learning typically include a Bachelor's degree and a solid understanding of mathematical concepts. However, prerequisites can vary between programs, and many require no prior knowledge.
Yes, Great Learning welcomes students from all over the world. There are no specific geographical restrictions that affect the eligibility for a data science course with Great Learning.
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