MBAData Science & AnalyticsDoctorate Software & Tech AI | ML MarketingManagement
Professional Certificate Programme in HR Management and AnalyticsPost Graduate Certificate in Product ManagementExecutive Post Graduate Program in Healthcare ManagementExecutive PG Programme in Human Resource ManagementMBA in International Finance (integrated with ACCA, UK)Global Master Certificate in Integrated Supply Chain ManagementAdvanced General Management ProgramManagement EssentialsLeadership and Management in New Age BusinessProduct Management Online Certificate ProgramStrategic Human Resources Leadership Cornell Certificate ProgramHuman Resources Management Certificate Program for Indian ExecutivesGlobal Professional Certificate in Effective Leadership and ManagementCSM® Certification TrainingCSPO® Certification TrainingLeading SAFe® 5.1 Training (SAFe® Agilist Certification)SAFe® 5.1 POPM CertificationSAFe® 5.1 Scrum Master Certification (SSM)Implementing SAFe® 5.1 with SPC CertificationSAFe® 5 Release Train Engineer (RTE) CertificationPMP® Certification TrainingPRINCE2® Foundation and Practitioner Certification
Job Linked
Study Abroad
Master of Business Administration (90 ECTS)Master of Business Administration (60 ECTS)Master in Computer Science (120 ECTS)Master in International Management (120 ECTS)Bachelor of Business Administration (180 ECTS)B.Sc. Computer Science (180 ECTS)MS in Data AnalyticsMS in Project ManagementMS in Information TechnologyMasters Degree in Data Analytics and VisualizationMasters Degree in Artificial IntelligenceMBS in Entrepreneurship and MarketingMSc in Data AnalyticsMS in Data AnalyticsMaster of Science in AccountancyMS in Computer ScienceMaster of Science in Business AnalyticsMaster of Business Administration MS in Data ScienceMS in Information TechnologyMaster of Business AdministrationMS in Applied Data ScienceMaster of Business AdministrationMS in Data AnalyticsM.Sc. Data Science (60 ECTS)Master of Business AdministrationMS in Information Technology and Administrative Management MS in Computer Science Master of Business Administration MBA General Management-90 ECTSMSc International Business ManagementMS Data Science MBA Business Technologies MBA Leading Business Transformation Master of Business Administration MSc Business Intelligence and Data ScienceMS Data Analytics MS in Management Information SystemsMSc International Business and ManagementMS Engineering ManagementMS in Machine Learning EngineeringMS in Engineering ManagementMSc Data EngineeringMSc Artificial Intelligence EngineeringMPS in InformaticsMPS in Applied Machine IntelligenceMS in Project ManagementMPS in AnalyticsMS in Project ManagementMS in Organizational LeadershipMPS in Analytics - NEU CanadaMBA with specializationMPS in Informatics - NEU Canada Master in Business AdministrationMS in Digital Marketing and MediaMS in Project ManagementMaster in Logistics and Supply Chain ManagementMSc Sustainable Tourism and Event ManagementMSc in Circular Economy and Sustainable InnovationMSc in Impact Finance and Fintech ManagementMS Computer ScienceMS in Applied StatisticsMS in Computer Information SystemsMBA in Technology, Innovation and EntrepreneurshipMSc Data Science with Work PlacementMSc Global Business Management with Work Placement MBA with Work PlacementMS in Robotics and Autonomous SystemsMS in Civil EngineeringMS in Internet of ThingsMSc International Logistics and Supply Chain ManagementMBA- Business InformaticsMSc International ManagementMBA in Strategic Data Driven ManagementMaster of Business AdministrationMSc Digital MarketingMBA Business and MarketingMaster of Business AdministrationMSc Digital MarketingMSc in Sustainable Luxury and Creative IndustriesMSc in Sustainable Global Supply Chain ManagementMSc in International Corporate FinanceMSc Digital Business Analytics MSc in International HospitalityMSc Luxury and Innovation ManagementMaster of Business Administration-International Business ManagementMS in Computer EngineeringMS in Industrial and Systems EngineeringMSc International Business ManagementMaster in ManagementMSc MarketingMSc Business ManagementMSc Global Supply Chain ManagementMS in Information Systems and Technology with Business Intelligence and Analytics ConcentrationMSc Corporate FinanceMSc Data Analytics for BusinessMaster of Business AdministrationMaster of Business Administration 60 ECTSMaster of Business Administration 90 ECTSMaster of Business Administration 60 ECTSMaster of Business Administration 90 ECTSBachelors in International ManagementMS Computer Science with Artificial Intelligence and Machine Learning Concentration
For College Students
    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:
    • 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.
    Data scientists require a broad set of skills to carry out their daily responsibilities. Some of them are:
    • Mathematics and Algorithms
    • Statistics and Statistical Tools such as SAS
    • Programming Languages such as Python and R (If you want to develop systems, not absolutely required for business analytics but will be helpful in analytics as well.)
    • Excel, Microsoft Power BI, or Tableau
    • DBMS (RDBMS) and Database Management
    • Data Mining and Data Warehousing
    • Data Cleaning
    • SQL and databases such as MySQL or MariaDB (Even MongoDB or NoSQL is great)
    • Hadoop and Hadoop SPARK
    • Machine Learning and ML algorithms (Supervised and unsupervised)
    • Deep Learning and concepts such as NLP and Artificial Neural Networks
    • Data visualization, forecasting, and reporting
    • Analysis and Analytics
    • Business Communications


    Get free Data counselling
    Request Callback

    Programming Languages and Tools Covered


    Learn from India’s leading Data Science faculty and industry leaders

    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 annum 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.
    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.
    A few other popular career paths for Data Scientists and their corresponding average or median salaries:
    • 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.

    Benefits with upGrad

    Strong hand-holding with dedicated support to help you master Data Science

    Regular 1-on-1 interaction with Industry Experts

    Regular 1-on-1 interaction with Industry Experts
    • Discussions on career growth and industry expectations
    • Feedback on project work and assignments

    Dedicated upGrad Mentors

    Dedicated upGrad Mentors
    • Student Success Mentors to resolve on-academic queries for smooth learning experience
    • Career mentor to track application targets, coach on profile building & monitor your transition journey

    Doubt Resolution on Q&A Forums & WhatsApp Groups

    Doubt Resolution on Q&A Forums & WhatsApp Groups
    • Timely doubt resolution by qualified teachers
    • Regular live Q&A sessions with experts

    Networking with Industry Experts & Peers

    Networking with Industry Experts & Peers
    • Live sessions by industry experts on relevant topics
    • Interaction with experts and peers in online and offline events translating into new job opportunities

    Job Placement Assistance

    Job Placement Assistance
    • Personalised resume building exercise
    • Mock interviews with our hiring experts
    • Job Interviews with 300+ hiring partners

    Our Hiring Partners

    Opening the doors to the best in the industry such as:

    Over 500 Careers Transformed

    Data Science Articles

    Find the latest and informative post on Data Science. Keep yourself updated, know the current trends in Data Science industry and use cases for data viz and data storytelling.

    Student Reviews

    Frequently Asked Questions

    Program Curriculum & Learning Experience

    How good is the Data Science Course from IIIT Bangalore?

    upGrad PG Diploma in Data Science Program is in collaboration with IIIT-B. At upGrad we have empowered 12,600+ students in various fields ranging from Machine learning to Data Science to Data Analytics.  More than 500 learners have had a successful transition with 72 LPA as the highest salary. Once the program is over you will have job opportunities in various roles such as Machine Learning Engineer, Data Engineer, Data Scientist, Data Analyst, etc.

    How are placements & career support after PG Diploma in Data Science?

    upGrad arranges hiring drives for our learners from every field, including the Data Vertical. So far, upGrad has empowered 12,600+ students in the field of Data Science. Specifically in the data Science program from IIIT-B, over 500 learners have had a successful career transition with the highest salary of 72 LPA and an average salary hike of 58%. Our students are working with top organisations like KPMG, Huron Consulting Group, Tata Consultancy, Tata Motors, Wipro, Accenture, Time Inc. and many more.

    What are the important features upGrad's Data science program?

    1. Student Mentor Support With the constant support and motivation, studying for the program becomes very easy. They will be available to solve all your non-technical queries.  Peer to Peer Interaction.
    2. Through our interactive and fun-filled basecamps, live sessions, and career-building workshops which are held by industry professions you will get to participate in group activities along with your peers with a similar profile as yours.
    3. 5 Unique Specialisations You can select from 5 specialisations as per your background and career aspirations. You will also get a PG Diploma in Data Science from IIIT-B with a specialisation.  
    4. Dedicated Career Assistance Receive personalised career counseling sessions along with mock interviews with hiring managers. We have more than 300+ hiring partners which can help in enhancing your career.

    What is the future of Data Science in the USA?

    Data-driven decision making is the need of the hour. Companies that have not switched to it will soon be looking for ways to make use of their data. Those who are already utilizing it will keep doing so, and keep finding novel ways. In that sense, the future of Data Science is extremely bright. The USA being the home to so many industry giants (across different industries) will also see a constant (if not increasing) demand for data scientists in the coming years. 

    What is the salary trend for Data Science in the USA?

    The final salary that you get will depend on a number of factors like your experience, education, skill set, role, organization, and a few more. That aside, we can see the Data Science salaries in the USA range from $90K to $200K. This figure will also depend on your location of work!