Several batches have successfully completed the program till date, and are making significant contributions as managers, CXOs, thought leaders and entrepreneurs.
Candidates for this program come through a rigorous selection process involving GMAT and a personal interview. Interviews are conducted across India and select international locations. In some cases, we encourage students to appear for interviews through online mode as well. While the average GMAT score is on the upside of , the average work experience is over 8 years. Candidates come from a wide variety of industries in their prior work experience, including defence, oil and natural gas, energy, IT and IT services, automobiles, electronics, education, aviation, agriculture, healthcare, finance, government agencies, food processing, etc.
This diversity in the class is much needed in order to strengthen peer-to-peer learning. The much needed modern skill of being interdisciplinary in their thought process becomes feasible with such diverse batch. The profile of the batch is comparable with any other business school in the world. Students are expected to put in significant effort towards their classes, both before and after the class.
Time Series Forecasting. Retail-Giant Sales Forecasting Assignment. SQL Best Practices. Advanced Excel. Structured Problem Solving using Frameworks.
Structured Problem Solving Assignment. Operations Research. Operations Research Case Study. Introduction to Big Data and Cloud. Hive and Querying. Hive Case Study. Visualisation using Tableau. Visualisation using PowerBI. Visualisation using Plotly. Plotly Case Study. Topics Covered Data Engineering. Introduction to Big Data Optional.
Introduction to Hadoop and MapReduce Programming. MapReduce Programming Assignment optional. Data Management and Relational Database Modelling.
Data Warehousing Optional. Hive Assignment optional. Amazon Redshift. Introduction to Apache Spark. Apache Flink Optional. Stock data Analysis Assignment Optional.
Building Automated Data Pipelines with Airflow. Analytics using PySpark. Classification Assignment Optional. Project: Real Time data processing. The capstone project will stitch all the components of data engineering toge Industry Projects Learn through real-life industry projects sponsored by top companies across industries Engage in collaborative projects with student-mentor interaction Benefit by learning in-person with expert mentors Personalised subjective feedback on your submissions to facilitate improvement.
IMDb Movie Analysis. Analyse movie data from the past years and find out various insights to Solve a real industry problem through the concepts learnt in exploratory dat Bike sharing systems Linear Regression Assignment. Build a model to understand the factors on which the demand for bike sharing Lead Scoring. Help the sales team of your company identify which leads are worth pursuing Clustering Assignment. Apply the machine learning concepts learnt to help an international NGO clus Telecom Churn.
Telecom companies often face the problem of churning customers due to the co Fraud Detection. Build a machine learning model to identify fraudulent credit card transactio Retail-Giant Sales Forecasting. Forecasting the sales on the time series data of a global store.
In this assignment, you will work on a movies dataset using SQL to extract e In this assignment, you will apply your Hive and Hadoop learnings on an E-c ETL Project. Assignment - Structured Problem Solving. This assignment will test the learners understanding of the previous 2 modul IPL Visualisation Assignment. With the IPL season commencing, let's go ahead and do an exciting assignment Build a regularized regression model to understand the most important variab MapReduce Programming Assignment.
Business Case Study - Staff Planning. In this module, you will solve an industry case study using optimisation tec Assignment - Classification. Strong hand-holding with dedicated support to help you master Data Science. Learning Support. Industry Expert Guidance. Student Support. Career Mentorship Sessions High Performance Coaching AI Powered Profile Builder.
Interview Preparation. Industry Readiness Assessments. Top companies from all around the world have recruited upGrad alumni. Over Careers Transformed. Learn more about successful career transitions in the. Career Transition Handbook. Aishwarya Ramachandran. Bengaluru 6 Years. The curriculum and programme is very structured and easy to consume. The mock calls and encouraging words from the CEO before my interview were extremely encouraging.
Research Assistant. News Analyst. Abhinay Bandaru. Hyderabad 3 Years. The support of upGrad student mentors in the course was a crucial part. I followed them and they helped a lot in clarifying my queries. There was also placement assistance given where you are perfectly guided on how to start a career as a Data Analyst. Product Analyst. Moulik Srivastava.
Bengaluru 5 Years. The programme has been absolutely fantastic. The mentorship through industry veterans, BaseCamps, and student mentors makes the programme extremely engaging. I would definitely endorse the programme for its rich content and comprehensive approach to Data Science.
Business Systems Analyst. Business Analyst. Bengaluru 1 Year. The programme's content was so well structured that it helped me grasp concepts very new to me.
I was able to secure a job at Kantar Analytics through upGrad's placement drive. Data Analyst. Sowjanya Vijaynagar. The mock interviews at upGrad was very helpful since it was catered to the kind of role I was looking to get into.
The feedback was extremely useful and also helped me gain confidence before the main interview. Data Consultant. Atul Agarwal.
Mumbai 2 Years. Learning with upGrad was like going back to University for me. Their career support and mentorship calls really helped me switch to a career in the field of Data Science. Software Engineer. Personalised Industry Session. Sessions by an industry expert for a small group of learners with similar profiles to discuss real life applications of concepts and personalised coaching. High Performance Coaching.
Get a dedicated career coach to help you stay on track to achieve your career goals, coach you on your profile, and support you in your career journey. Get personalised career landscaping from experts to chart out best opportunities. Support in polishing your hard skills and soft skills for interview preparation. Admission Process There are 3 simple steps in the Admission Process which is detailed below: Step 1: Selection Test Fill out an application and take a short minute online test with 11 questions.
Step 2: Review and Shortlist Candidates Our faculty will review all applications, considering the background and review the test scores where applicable.
Following this, Offer Letters will be rolled out. Step 3: Enrollment for Access to Prep Content Make a quick block payment with assistance from our loan partners where required, receive immediate access to the prep content and begin your upGrad journey. Programme Fee - Indian Residents. INR 2,99, incl. Empowering learners of tomorrow Over 2, students have completed this course and started working at their dream job, whats stopping you?
Continue with email. Student Reviews. Chandrasekhar Ramanathan and Prof. G Srinivasaraghavan respectively. Both of them have been listed in the list of the top twenty most prominent Data Science academics published by Analytics India Magazine. So you need not worry about quality of teaching in this program. They even teach you most of the prerequisites with prep sessions before you even start the course.
Being a working professional, it was neither too difficult nor too easy to keep up with the pace of the course. Being an online program, you have your worries about how the program and teaching methods will be.
My favourite part about the learning experience has been programming through well designed and thoughtful content shared by IIITB professors and industry experts on upGrad platforms. Kudos to upGrad. A dedicated studying regime is the key to be successful and pass the program. This program will help build a strong foundation for a successful transition into Data Science. Additionally, participating in Hackathons and Kaggle competitions to solve real-world problems will definitely give you an edge and land a job if one is willing to work hard.
You may not believe it but I had never done coding in my life. I did it during this course and was thrilled to see the outcomes coming out of those codes. Just the way I used to get happy after solving a good tough math problem during my school age.
Thanks to upGrad for providing a great service to people like us who at the age of 43 can dream to study with budding talents around. Start Referring. Course Curriculum. Which topics are going to be covered as part of the programme? What type of learning experience should I expect? Is any certification granted at the end of the programme? When will I have to choose my specialization track?
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