Online
Great Lakes Executive Learning
Online
MIT IDSS & Great Learning
Online
Northwestern School of Professional Studies
Online
MIT Professional Education
Online
The University of Texas at Austin, McCombs School of Business
Online
- 12+12
Deakin University
Online
Deakin University
Online
PES University
Weekend Classroom
The University of Arizona, Eller College of Management
Online + On-Campus in USA
Walsh College
Online + On-Campus in USA
FOM International University
Online + On Campus in Germany
If you’re looking to learn Data Science from the world’s top-ranked universities, you’ve come to the right place. The courses are offered by:
Massachusetts Institute of Technology - Institute for Data, Systems, and Society (MIT IDSS)
The University of Texas at Austin (UT Austin) McCombs School of Business
Northwestern University School of Professional Studies
Deakin University
Great Lakes Executive Learning
National University of Singapore Business School
PES University
Walsh College
Eller College of Management
FOM University
With multiple options available, you’re sure to find a course that meets your requirements.
Below are the eligibility requirements for a range of data science courses:
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| The program is best suited for: |
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| |
| This program is for: |
| : If your transcript evaluation states that your degree is equivalent to a 4 year U.S. bachelor degree then you can apply for this programme. If you have a 4 year bachelor’s degree then you can apply. |
- (International Program) | This program is for |
- (International Program) | The program is for |
| |
| |
(Eller College of Management) | The program is for: |
(Walsh College)
| Candidates should score a minimum of 2.75 GPA in the 1st year to be eligible for 2nd year on campus at Walsh College. |
(FOM International University)
| Please speak with your learning consultant for more details. Great Learning provides English proficiency test preparation service at no additional cost. |
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*Please visit the respective program page for detailed information on the eligibility criteria.
Before enrolling, it is usually advised to thoroughly understand the course syllabus, enabling you to determine whether the course equips you with the required skills. The subjects involved in Data Science are as follows:
Subjects | Subject Description |
Introduction | It will provide a brief description of the Data Science course and the significance of Data Science in the industry. |
Programming Languages | You will learn programming languages such as Python, R, and SQL for Data Analysis, Data Wrangling, Data Visualization, and Machine Learning. |
Statistics | You will understand how to analyze data sets to draw insights and make predictions. |
Data Mining | It introduces you to Data Mining, including a brief overview of the different techniques and approaches, such as Clustering, Decision Trees, and Neural Networks. |
Machine Learning | You will learn about the different types of Machine Learning algorithms and how to train, test, and deploy them in real-world applications. |
Time Series Forecasting | You will learn how to identify and model time series patterns and use these models to make forecasts in decision-making. |
Big Data | You will also learn about the tools and techniques that Data Science professionals use to make sense of Big Data. |
Data Analytics | It will cover the different types of Data Analytics techniques, including Exploratory Data Analysis, Predictive Modeling, and Prescriptive Analytics, which can benefit businesses. |
Business Analytics | You will understand the process of analyzing data to gain insights that help businesses make better decisions. |
Data Visualization | You will learn how to create and interpret data visualizations and use them to communicate data effectively. |
For a fresher in 2024, there are several top-notch data science courses offered by Great Learning. They are listed below:
Data Analytics Course for Beginners - The University of Texas, Austin (For Non- Indian learners)
PGP in Data Science (Online) - Great Lakes Executive Learning (For Indian Learners Only)
PGP in Data Science (Bootcamp) - Great Lakes Executive Learning (For Indian Learners Only)
UT Austin's Data Science Courses Offered in Partnership with Great Learning.
In collaboration with Great Learning, the University of Texas at Austin offers a range of comprehensive online data science certificate courses. These programs are designed for professionals and are tailored to accelerate your professional growth. Depending on the program format, these programs provide a data science certificate online and offline.
Program Name | Learning Mode | Focus Area |
| Online | Data Science & Business Analytics |
| Online | Data Analytics |
These programs are designed to be flexible and accessible, offering mentored online learning experiences that cater to mid-career professionals. They provide a blend of theoretical knowledge and practical skills, preparing you for the evolving demands of the tech industry.
MIT Data Science Courses Offered in Partnership with Great Learning.
Massachusetts Institute of Technology (MIT), in partnership with Great Learning, offers a variety of in-depth online postgraduate certificate programs specifically designed for professionals seeking to enhance their careers. These programs emphasize key areas in data science and technology, ensuring participants are well-equipped for the dynamic demands of the industry.
Program Name | Learning Mode | Focus Area |
| Online | Data Science & Machine Learning |
| Online | Applied Data Science |
These MIT programs, facilitated through Great Learning, are structured to offer flexibility and convenience, making them ideal for mid-career professionals. The courses blend theoretical insights with practical applications, preparing participants for the rapidly evolving landscape of the data science and technology sectors.
Great Learning offers data science courses with placement opportunities* and career support. You can get access to career fairs, job boards, 1:1 mock interviews with industry experts, career prep sessions, networking sessions, hackathons & live projects that help you land your dream job.
*Limited to selected Programs only
Participate in the GL Excelerate program and placement drives. Here, you get access to job opportunities with over 3000+ leading global companies seeking top talent.
Data science course fees, data science course syllabus, data science course with placement, data science certificate course, data science course reviews, data analytics courses, masters in data science courses, data science course faculty.
Learn from the vast knowledge of top faculty in the field of Data Science.
Ph.D. from Stanford University, Ex-Faculty - MIT
Faculty Director, Great Learning
Department of Business Administration I
Senior Lecturer in Computer Science Course Director Master of Data Science
Former VP Sales & Marketing
Program Faculty Director, MIT Institute for Data, Systems, and Society (IDSS)
PHD (Stanford University)
Faculty Director, Centre for Research and Analytics
MBA (FMS, Delhi)
Professor, Analytics & Operations
Senior Lecturer, Applied Artificial Intelligence
Clarence J. Lebel Professor, Dept. of Electrical Engineering & Computer Science (EECS) at MIT
Department of Business Administration II
Ph.D. from Stanford University
Business Psychology
Senior Lecturer in Mathematics for Artificial Intelligence
Rockwell International Career Development Associate Professor, Mathematics and IDSS, MIT
Corporate Trainer and Consultant - Machine Learning
Henry L. & Grace Doherty Associate Professor, EECS and IDSS, MIT
Professor,School of Info Technology
PHD (Pierre & Marie Curie University, Paris)
Professor, Artificial Intelligence and Machine Learning, Great Learning
Professor, PhD Statistics
Phd (University of Maryland)
Clinical Assistant Professor
Business and Tax Law
MBA (Monash University)
Operations Director
MBA (Whitman School of Management)
Industry Expert in Visualization
MSc (Madras School of Economics)
Faculty, Data Science & ML, Great Learning
Masters (IIT Kanpur)
Adjunct Faculty
Nanyang Technological University Professor of Operations Research, Sloan School of Management and IDSS, MIT
Business Informatics
PGDBA (SIMS)
Director- Data Science
Consulting | Training.
Ph.D (Anna University)
B.Tech (Jawaharlal Nehru Technological University)
Senior Lecturer, Computer Science
Ph.D (Indian Statistical Institute)
Co-Director, Gurgaon, Professor - Analytics & Statistics, Great Lakes Institute of Management
Professor, EECS and IDSS, MIT
Six Sigma Certification (ISI Mumbai)
Engineering
Faculty Director
Health and Social
Master in Economics (Karnatka University)
Consultant, Author, Visiting Faculty
Associate Professor, EECS and IDSS, MIT
B Tech (IIT, Delhi)
Professor, HBTI Kanpur
Consultant - Data Science & Engineering
Key Skills and Methods
Professor, Mathematics, MIT
Principal Research Scientist at the Laboratory for Information and Decision Systems, MIT.
Consultant, Data Science & Engineering
Professor, Mathematics and IDSS, MIT
PHD (University of Illinois at Urbana-Champaign)
Faculty, IIT Bombay
Centre Head, Operations
X-Consortium Career Development Associate Professor, EECS and IDSS, MIT
General Manager
PHD (IIM Ahmedabad)
Associate Professor
Associate Professor, EECS and IDSS, MIT.
Sr. Data Scientist
Professor, Economics and IDSS, MIT
MBA(Universtity of Cincinatti, Ohio)
Sr. Manager Technology
M.S (University of Mumbai)
Visiting Faculty
Professor, Real-World Analytics
Learn from highly skilled industry practitioners working with top-notch companies. Stay ahead of the curve and ensure you are learning the most relevant data science skills.
Check out our learners' enthusiastic, career-transitioning projects and become a highly skilled Data Science professional.
Predictive model for diabetes treatments, actionable insights for improving sales of a consumer durables retailer using pos data analytics, techniques used, retail sales prediction.
Entrepreneurship/Start Ups
Realty predictive modeling on house value, route optimization and vehicle utilization, prediction of loan interest rates, prediction of user's mood using the smartphone data, deep dive into exploratory analysis and predictive modeling in financial domain.
E-commerce/Internet Business
Predictive modeling of employability outcomes, understanding trends in bitcoin using social data and economic factors, ipl prediction, car review blogs and tweets analysis, marketing analytics, predictive modelling on website visitor conversion rates, user testimonials of our data science courses.
Explore learner’s testimonials from real people who transformed their careers with our Data Science courses.
MIT Professional Education's Applied Data Science Program
Post Graduate Program in Data Science and Business Analytics
Zulfiqaar ahmed, navita singh.
Masters of Data Science (Global)
Manas gupta, perci olarte, webinars on data science.
With our webinars, learn from leading experts in Data Science. Gain insights and strategies for your career success in the data science domain.
13 june 2024 | 06:00pm ist, aniket chhabra.
Principal Product Manager- Generative AI, ASAPP
A master's in data science from the #9 university in the usa, 25 october 2023 | 06:00pm ist.
Academic Director, Great Learning
Read these reviews from our real learners and their experience with our courses. This will help you choose the right course for yourself.
Program : Post Graduate Program in Data Science and Business Analytics
Program : Post Graduate Program in Data Science and Engineering
What is a data science course.
The Data Science course is a fine blend of mathematics, statistical foundations and tools, and business acumen, all of which assist in extracting from raw data the hidden patterns or insights that can significantly aid in formulating important business decisions. Proving prevalent in academics, Business analytics courses are now an amalgamate of Data Science.
The major components of the course also include scientific computing, data structures and algorithms, data visualization and data analysis, and machine learning tools and techniques to escalate business performance. The course could be around six to twelve months, designed to give candidates a solid foundation in the discipline. In addition to educational materials, our Data Science certificate courses contain virtual laboratories, interactive quizzes and assignments, case studies, industrial projects, and capstone projects, which will accelerate your learning path.
Considering this soaring demand in Data Science and Data Analytics, if you want to learn Data Science online, some Data Science prerequisites are as follows:
Mathematical Skills: One must be good at mathematical concepts, such as linear algebra, matrices, calculus, gradients, etc. is considered as one of the major prerequisites for taking up Data Analytics courses.
Programming Skills: Having a concise knowledge of programming, such as Python, C, C++, SQL, Java, etc., would help you gain complete knowledge and understanding throughout the Data Science online course.
Data Processing: As Data Science is all about dealing with data, an individual must be familiar with data mining, data modeling, data processing, etc., which makes it easy for you to pursue Data Science online training.
Statistical Analysis: Being good with statistical analysis would be a great asset to learn Data Science. Data Science aims to extract valuable insights from a vast collection of data. Experience working with analytical tools such as Hadoop, R, SAS, and many more, will serve you in efficiently performing the statistical analytics of the given data.
Data Visualization Skills: Knowing the data visualization tools such as Matplottlib, Tableau, and many more would benefit you in comprehending the complex outcomes and letting the audience understand the metrics.
Yes, it is entirely worth it to learn Data Science and choose it as your career. Check out the following factors:
High Demand: Data Science has seen significant growth in various industries. The demand for Data Science jobs is expected to rise steadily in the coming years. According to the U.S. Bureau of Labor Statistics, 11.5 million Data Science jobs might be created by 2026.
Lack of Data Scientists: As Data Science is high in demand, there is a lack of Data Scientists. Several companies are vastly searching for Data Scientists and Analysts.
Sky-high Pay Scale: A Data Scientist’s average pay scale ranges from USD 15,000 to USD 125,000 (approx.) worldwide.
Adds Value to Business: Data Science has seen significant growth in various industries, such as IT services, healthcare and e-commerce industries, banking sectors, consultancy services, etc
Yes, there are Data Science courses designed for working professionals, like senior managers, business leaders, entrepreneurs, etc. They include:
MIT Data Science and Machine Learning - Making Data-Driven Decisions using Data Science and Machine Learning
MS in Data Science - Northwestern University
Data Science and Business Analytics Course - UT Austin
Data Science and Business Analytics Classroom Course - Great Lakes
PG in Data Science Online - Great Lakes
PGP in Data Science - Great Lakes (Bootcamp)
Applied Data Science - MIT (International Program)
Data Analytics Essentials - UT Austin (International Program)
Master of Data Science (Global) - Deakin University
M.Tech in Data Science and Machine Learning - PES University
A data scientist's job is to collect, clean, and analyze data to find trends and insights. They use their skills in statistics, programming, and machine learning to build models and algorithms to optimize decision-making. Data scientists also communicate their findings to others through reports and presentations. Data scientists work in multiple industries, including healthcare, finance, technology, and retail. They utilize their skills to solve business problems and help organizations make more informed decisions.
Data scientists typically have a background in computer science, statistics, and mathematics. A data scientist's job is to make sense of data. They use their skills in statistics, computer science, and mathematics to clean, organize, and analyze data. Data scientists also develop algorithms to help make decisions based on data.
Choosing a job opportunity in data science gives you a lot of career options:
Data Scientist: Responsible for analyzing and interpreting complex data to help inform business decisions.
Data Analyst: Focuses on processing and performing statistical analyses on large datasets.
Machine Learning Engineer: Specializes in designing and implementing machine learning techniques, models and systems.
Data Engineer: Focuses on the preparation of 'big data' for analytical or operational uses.
Business Intelligence (BI) Analyst: Uses data to help organizations make better business decisions.
Data Science Manager/Lead: Ensures meeting organizational goals with various data science teams and projects.
Research Scientist: Engages in data-driven research, often in academic, government, or corporate settings.
Statistician: Applies statistical methods to collect, analyze, and interpret data to solve real-world problems in business, engineering, healthcare, or other fields
There are a variety of data science certificate courses available, each with its own benefits. The best certification for data science depends on your individual goals and needs. If you are looking to strengthen your career or change jobs, a certification from a reputable institution can give you the edge you need.
The data science certificate course from the University of Texas at Austin McCombs School of Business is an excellent choice for aspirants. World-renowned professionals from UT Austin and Great Learning have designed the curriculum. This certificate program equips you with the relevant knowledge and skills to pursue data science or managerial careers with the best analytics firms or move the analytics roles within your existing organization.
When it comes to learning data science, the common question that usually comes to mind is: what is the syllabus of data science? While there is no one-size-fits-all answer to this question, there are certainly some core topics and skills that all data scientists should know.
In general, the syllabus of data science covers three key areas: statistics, machine learning, and data mining. Each of these areas is essential for any data scientist, as they provide the foundation for understanding and manipulating data.
A standard syllabus for data science includes:
Statistics and Mathematics
Programming using Python or R
Database Management using SQL
Exploratory Data Analysis
Machine Learning and Artificial Intelligence
Time Series Forecasting
Data Mining
Business Analytics
Data Visualization using Tableau or Power BI
No matter your experience in data science, if you want to be a data scientist, it is critical to have a strong foundation in these core areas. With this foundation, you will be able to tackle any data science challenge that comes your way.
With the increase in the demand for data scientists across the globe, salaries are also skyrocketing. Data scientists are making generous pay from top-notch companies. Since there is a lack of data science professionals in the field, even freshers are earning excellent salaries.
The following are a few salaries of a data scientist fresher from different countries:
Data scientist salary in the United States : USD 101K per annum
Data scientist salary in the United Kingdom : £55K per annum
Data scientist salary in India : ₹10.5 Lakh per annum
Data scientist salary in Germany : €55K per annum
Data scientist salary in Australia : AU$121K per annum
Data science is an excellent career choice for those with strong analytical and problem-solving skills. The field is projected to proliferate in the coming years, and data scientists are in high demand.
Data science is a versatile field, and data scientists can work in a variety of industries, including healthcare, finance, government, and tech. Salaries for data scientists are also very competitive and among the highest salaries offered in any profession.
The demand for data scientists is increasing as businesses become more reliant on data to make data-driven business decisions. Data science is a relatively new subject, and there is a lot of opportunity for growth and advancement.
There is no one-size-fits-all answer to this question, as the best institute for Data Science training will vary depending on your specific needs and goals. Nevertheless, some factors to consider when choosing a Data Science training institute include the institute's reputation, curriculum, and instructors. It is also vital to ensure that the institute you choose offers an accredited Data Science program that will help you become a certified data scientist.
Here is a list of a few top-notch institutes for Data Science training:
Massachusetts Institute of Technology - Institute for Data, Systems, and Society (MIT IDSS)
Shiv Nadar University, Delhi NCR
After you successfully pass all the assignments, exams, or projects, your course will be completed. Then, you will receive a Data Science professional or degree certificate from respective institutes or universities.
Deciding between a data science certification course and a data science degree course depends on your qualifications, career goals, and the time and resources you can commit. A degree in data science typically offers an in-depth skill set, and it's well-suited for those who are early in their career. The ones who are looking to gain a strong foundation in data science can also consider a data science online degree.
On the other hand, data science professional certificates are more focused and flexible. It allows learners to specialize in specific areas of data science. They are ideal for professionals seeking to update their skills or pivot to a data science career without committing to a full-time degree program.
The demand for data science jobs is extremely high, and data is considered the new oil in today's digital economy. Companies across industries are seeking professionals who can interpret and analyze this data to provide business insights. Therefore, the demand for data science skills, including machine learning, predictive analytics, and data visualization, is rising significantly.
A data science boot camp offers several benefits, such as:
Providing a fast-paced, intensive learning environment that helps you gain data science skills in a relatively short period
Focusing on practical, hands-on learning with real-world projects
Providing mentorship from industry experts and career support, helping you transition into a data science role more smoothly
The future scope for data scientists is promising. With the advent of AI and machine learning, companies in various sectors, such as healthcare, finance, retail, and e-commerce, are increasingly leveraging data to make informed business decisions, resulting in a growing demand for data scientists.
As per the U.S. Bureau of Labor Statistics, the future for data scientists is highly promising, with a 35% growth in employment from 2022 to 2032, which is higher than all the other occupations.
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Enhance your understanding of data science through our informative blogs. These blogs will help you understand the domain and help you become a successful Data Science professional.
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Learn the most in-demand tools, technologies, and skills for free with Great Learning Academy. We provide this platform for you to start learning data science from scratch for free and give a push to your career goals.
Classification using Tree Based Models
Applications of Analytics
Data Science in FMCG
Analytics in Medical Malpractices
Chi-Square Test
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Marketing and Retail Analytics
Free Dataset in Analytics
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Data Mining Projects
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COMMENTS
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UGC Approved PhD Universities in India - Indian Institute of Technology, Guwahati. Although it holds 10th rank among the PhD universities in India, IIT Guwahati scored the perfect score as per the Staff with PhD factor. The Institute is worldwide famous for its campus and infrastructure. IIT Guwahati currently holds 470 rank as per the QS World ...
Check out the list of top Ph.D Universities in India with courses, fees, cut-off, admission, placement, reviews, ranking, latest news, and more on careers360.com.
Amrita University is the only Indian University in World's Top 100 Universities in Times Higher Education Impact Rankings. Accreditation. In 2023, the university was awarded an A++ grade by the NAAC. Governance. The governance structure of Amrita Vishwa Vidyapeetham's academic and administrative departments.
The Ph.D. Programme in Management seeks candidates with outstanding academic credentials, intellectual curiosity and discipline needed to make scholarly contributions that advance the frontiers of knowledge. It provides a diverse set of opportunities for interdisciplinary learning and research. The student opts for one of eleven functional ...
The admission process may vary from college to college. Some of the popular Ph.D colleges in India are IITs, IIMs, Delhi University, and private universities like O.P. Jindal Global University, Amity University, Lovely Professional University and others. Apart from Ph.D courses, these colleges offer UG, PG, diploma and M. Phil courses as well.
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Public Health Foundation of India (PHFI)- Indian Institute of Public Health, Delhi in collaboration with Academy of Scientific and Innovative Research (AcSIR) brings you this unique opportunity of doing PhD in the areas of public health. The degree (PhD in Sciences) will be awarded by Academy of Scientific and Innovative Research.
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There are many Indian universities that provide the opportunity of pursuing a post-doctoral degree to the PhD holders. Read this article to learn more about Post Doctorate in Indian Universities list. Program Name. Post-Doctoral. Names of Universities. Indian Institute of Science (IISc) IIT Bombay. IGIDRIIT Delhi. IIA.
PhD or Doctor of Philosophy is the highest academic degree awarded to a student pursuing an advanced study in any particular field. While there are a number of Indian universities that offer a PhD program, pursuing PhD abroad has its fair share of advantages which entice international students.
New Delhi, 01 March 2024: Universities in India admit PhD students in two sessions: July and January. For June-July 2024 or Semester I of 2024-25 session has just kick started as a very few universities have started admission process. As on 01 March 2024, Five Premier Government Research Universities have announced PhD for 2024-2025 Semester […]
Intake: 8 Eligibility. 1. Educational Qualifications: The minimum academic qualification for admission to the Ph.D programmes is a Second Class Master's or equivalent degree in the relevant subject awarded by a recognised university in India or abroad, with at least an average of 55 per cent of aggregate marks, or a grade point average of 3.5 under the seven-point scale of the University ...
USD 2,000-5,000 or INR 1,45,200-3,63,000. Thebestschools.org $1,000 Online College Scholarships. Students achieving a certificated online university qualify for the reward, adding the students to online doctoral programs. The aspirants must hold a minimum 3.0 GPA and also achieve at least 80% online courses.
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PhD Programme. Faculty members at IBAB pursue their independent research programs in frontier areas of Bioinformatics and Biotechnology, offering valuable opportunity for ambitious students to pursue a career in science through our PhD programme. The institute has state-of-the-art infrastructure, including high-end equipment and computing ...
The total course fee for the program varies between INR 20,000-INR and 1 Lakh. The top Ph.D. Psychology Colleges in India are Amity University, Lucknow, Banaras Hindu University, Awadhesh Pratap Singh University, etc. Candidates after passing the course are hired in various job profiles such as professors, Clinical psychologists, Educational ...
The Ph.D. programme is designed to create academic researchers as well as professionals who are capable of conducting policy analysis, relating to national and global economic and development issues, from a quantitative and inter-disciplinary perspective. While an interdisciplinary approach is encouraged, the programme lays somewhat larger ...
The cost of studying for a PhD in the USA for an Indian student can range between $28,000 to $40,000 (INR 20,97,999 - INR 29,97,142) per year. However, a big portion of the tuition fee may be waived off for deserving students. The fee structure for private and public sector universities varies, with the latter being almost free.
3. Writing Sample/Seminar Paper. 4. Sample Plan of Study and Rationale. *Applications should be submitted to the relevant Department by April 1. Program Details Eligibility 1. PhD students admitted to the Department of South Asian Studies and the Department of Philosophy are eligible to apply to the program in the spring of their G2 year.
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PhD Programs. There are 3 basic types of PhD Programmes in India. They include full time PhD, Part time PhD and Online PhD. Full-Time PhD. Full-Time PhD is a normal Doctor of Philosophy program. The duration of these programs ranges between 4 - 6 years.
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Here is a list of a few top-notch institutes for Data Science training: Massachusetts Institute of Technology - Institute for Data, Systems, and Society (MIT IDSS) The University of Texas at Austin (UT Austin) McCombs School of Business. Northwestern University School of Professional Studies. Deakin University.