Online Data Science & Business Analytics Programs
from the World’s Top Universities

MS | Executive PGP | Professional Certificate | Advanced Certificate

Request Callback
  • 58%
    Avg Salary Hike
  • 2,000,000
    Learner Base
  • 360 Degree
    Career Support
  • 14+
    Programming languages & tools
  • 1:1
  • 40+
    Live Sessions

Featured Programs for you

Viewing 7 programs
Professional Cert. Program-Data Science & Business Analytics | 7 months
Learn from a leading US university, online.
Work on a capstone project in a domain of your choice
MS in Data Science | 24 months
Get 30+ live learning sessions, masterclass by industry experts & 25+ case studies
Access to global job opportunities with timely doubt resolution
Master of Science in Data Science
Get free python programming bootcamp with 60+ case studies & projects
Access to global job opportunities with timely doubt resolution
Master of Science in Business Analytics | 12 months
The Golden Gate University's Master of Science in Business Analytics (MSBA) program opens the door
of growth and opportunity in the field of Analytics.

Still Not sure? Talk to our Expert Mentors

Request Callback
Professional Certificate for Business Decision Making | 8 months
Access to 20+ live learning sessions with 5+ expert coaching sessions and 3 industry projects
Case based pedagogy
Executive PG Programme in Data Science | 12 months
#1 Data Science programme with 6 unique specialisations and 60+ industry projects
Ranked among the Top 10 Technical Universities in India. (India Today, 2020)
Executive Program in Data Science and Machine Learning | 12 months
Learn from a leading US university, online.
Work on a capstone project in a domain of your choice

Transform your career with these services

Career Counselling
Get relevant career paths traced by experts to ascertain the best opportunities.
Learn More
Resume Feedback
Get feedback on your resume from experts through resume-building workshops.
Learn More
Interview Preparation
Mock interview sessions with hiring managers for detailed feedback.
Learn More
Job Assistance
Access to global job opportunities and virtual hiring drives with our 300+ hiring partners.
Learn More
upGrad Benefits
With India's largest online higher education company, get 360 degree career support. mentorship from industry experts, networking opportunities, and more.
  • Placement Support
    Get access to upGrad's career portal with 5000+ openings every month
      Become interview-ready with training, mentorship sessions and resume-building tools
        Make informed choices with career counselling sessions from industry experts
        • Timely doubt resolution by industry experts and peers
            Expert-verified responses to ensure quality learning
              Personalised feedback on assignments and projects
              • Unparalleled guidance from industry mentors, teaching assistants and peers
                  1:1 personalised feedback on submissions
                  • Informative and career building workshop sessions by industry experts
                      Group activities with peers

                      Our Track Record

                      Because words aren’t enough, we let numbers do the talking. 🙌


                      Avg. Salary Hike


                      Salary Hike Recorded


                      Learner Base


                      Faculty & Industry Experts

                      Why Learn Data Science?
                      Why Learn Data Science?
                      The role of a Data Scientist is one of the fastest-growing jobs in the United States and globally. For instance, the job scope for the field of Data Science has grown by 6.5 times in the United States. Machine Learning Engineer is at the top of the list in the U.S. as well, experiencing a massive 980% increase. There are way more Data Science and Big Data professionals than we had even during these periods of extreme flourishment in IT. This is especially due to the massive increase in the reliance on big data and the dependency on Data Science for operations of all kinds.
                      By learning the different techniques and tools associated with Data Science, you can cater to these highly specialized requirements:
                      • Data-Driven Decision Making
                      • Data System Development, Design, and Architecture
                      • Data Analytics
                      • Core Data Science and Advanced Analysis
                      • Analytics Management and Performance Management
                      • Operations and Project Management with Functional Analytics
                      Here are 3 main reasons why you should consider gaining more knowledge in Data Science:
                      • Attractive salary packages with annual increments.
                      • Career growth and ample prospects.
                      • A fulfilling career where there is enough scope for research and learning new things.
                      • A vast choice of job roles and specializations.
                      • Support from various learning platforms and the availability of an ample number of study material, research, or academic records regarding your core interests.
                      How to be a Data Scientist?
                      To become a Data Scientist, you must follow these five steps:
                      Step 1: Become interested in Data Science and the tools associated with the field.
                      Step 2: Join an undergraduate degree relevant for Data Science (CS or IT-centric) or pursue a postgraduate program focused on Data Science.
                      Step 3: If you have finished your degree already, you can start taking courses for tools and specific skills that you want to learn in Data Science.
                      Step 4: Engage in projects, deploy your own projects or join an internship.
                      Step 5: Finally, apply for jobs after preparing yourself for the interviews and technical rounds.
                      Skills required to be a Data Scientist
                      Skills required to be a Data Scientist
                      Data Science in USA
                      Regardless of where you are, a simple search can show you the huge number of available jobs for Data Science professionals. This is especially true for Data Scientists in the U.S., as it is one of the fields with the highest demand and immense scope for growth. According to Indeed, Data Scientists earn an average salary of $119,277 in the U.S. per year based on the salaries of around 2600 Data Scientists from the United States of America. The job role of a Data scientist is one of the most popular jobs in the United States currently, at least according to LinkedIn’s job reports. According to the 2020 U.S. Emerging Jobs Report, the hiring for these job roles increased by about 35%.
                      Going by the predictions provided by IBM, the number of job openings in the United States has increased to more than 2,720,000 now. Also, the big data market is projected to reach a market value of more than $103 billion by 2027, a huge chunk of which will be generated from the United States.
                      According to the US Bureau of Labor Statistics, Data Scientists and other Information research scientists will expect a growth of 22% in their respective fields between 2020 to 2030. This is the highest growth rate among all occupations and fields.
                      Career path for a Data Scientist
                      Career path for a Data Scientist
                      When we think about Data Scientists, we actually mean a variety of job roles that require the applications of Data Science.
                      Here are the top career paths for Data Scientists and the associated salaries (PayScale) in the United States of America:
                      1. Machine Learning Engineer
                      Machine learning engineers design, build, operate and maintain machine learning models or systems that get better while performing tasks. They source the data required for training Machine Learning systems and developing ML algorithms for training the models to operate without human supervision.
                      Salary: $121,018 on average per annum.
                      2. Data Architect
                      Data Architects evaluate and analyze a company’s data needs and then figuring out how to source the data efficiently. These professionals are also involved with designing the database systems and ensuring effective database management. Data Architects must be proficient in DBMS systems (mainly RDBMS), cloud computing, database designing, data migration, and data warehousing.
                      Salary: A median salary of $147,547 annually.
                      3. Data Scientist
                      This is one of the most desirable job roles in the U.S., with ample career scope and numerous options for a career change. Data Scientists can work on unstructured data and conduct statistical analysis to extract insights. They require a wide variety of skills, ranging from statistics, mathematics, database administration to visualizing, predicting, and reporting.
                      Salary: $96,480 on average annually.
                      • Data Analyst: $78,353 annually
                      • Business Analyst: $77,854 annually
                      • Statistician: $75,156 annually
                      • Full-stack Developer: $96,898 annually
                      • Business Intelligence Developer: $94,189 annually
                      • Business intelligence Analyst: $77,854 annually
                      • Data Engineer: $92,503 annually
                      The global market for Data Science is only increasing. As per the latest stats, this field will expand at a CAGR of 26.9% till 2027, thus creating more unique job opportunities in the upcoming years.


                      • Past record is no guarantee of future job prospects. Terms and conditions apply.


                      Program Curriculum & Learning Experience