This program is for you if you are a:

• Data Scientist or Senior Data Analysts: If you are comfortable with data wrangling, have implemented statistical or natural language processing models in past and have spent at least 2 years as a working professional. You should also have some experience with R/Python/ Scala.
• Statistician: If you received formal education in statistics or mathematics and have at least 2 years of working experience.
• Data Engineer/Big Data Engineer: If you have at least 2 years of experience in creating data pipelines /handling data warehouses and you have created ETL procedures. In addition you should be familiar with various frameworks and tools like Hadoop and Spark.
• Software Developers: If you have worked on creating and deploying softwares/apps for at least 4 years, you are comfortable with object oriented programming and know C/C++/Java/Python or a similar language.

The program will benefit you different ways depending upon your prior experience:

• Data Scientist or Senior Data Analysts: The program will familiarize you with advancements in ML and AI. It will also help you understand the mathematics behind algorithms and how you can modify them to suit your needs so that you can transition to a Senior Natural Language Processing role.
• Statistician/ Mathematician: Apart from familiarizing you with advancements in ML and AI, the program will help you understand how to define a structured approach to solve a business problem, and equip you will the right tools so that you can transition to a Natural Language Processing or a Data Science role.
• Data Engineer/Big Data Engineer: The program will set up a solid foundation of statistics, Natural Language Processing along with problem solving skills so that you can solve enterprise level problems. It will build upon your existing knowledge of various tools to make you a full stack Natural Language Processing or Data Science professional.
• Software Developers: The program will help you create a strong foundation of statistics, natural language processing and business understanding. It will leverage your existing knowledge of programming and expand the technologies you are familiar with so that you can become a well-rounded Natural Language Processing professional.

This program intends to produce extremely well-rounded data scientists and AI professionals with deep knowledge of mathematics, expertise in relevant tools/languages and understanding of cutting-edge algorithms and applications.

This program is designed for working professionals looking to pick up skills in advanced concepts like Classification Algorithms, Clustering, Decision trees and Natural language processing along with a solid foundation of Statistics. This program demands consistent work and time commitment over the entire duration of 6 months.

This program is NOT intended to serve as an entry point to the field of Data Science. It is aimed at developing professionals who can be absorbed in Senior Data Scientist and Natural Language Processing roles. Our PG program in Data Science Program is aimed at facilitating the transition of professionals to the Data Science field.

All academic doubts would be cleared in the following way:

• Peer to peer discussion forum where you can post your queries and your peers/Faculty/Teaching Assistants answer your query within a day.
• Q&A session with Faculty to get clarification on conceptual doubts.

The content will be a mix of asynchronous lectures from industry leaders as well as world renowned faculty. Additionally the program comprises some live lectures or hangout sessions dedicated to solving your academic queries and reinforce learning.

UpGrad, IIITB, world renowned faculty and many industry leaders have committed a lot of time in conceptualizing and creating this program to make sure that the candidates can receive the best possible learning experience. Hence we want to make sure that the participants of this program also show a very high level of commitment and passion towards Natural Language Processing

The applicants will have to take a selection test designed to check their mathematical and programming abilities. The applicants can skip the test if they meet the following criteria:

Post-Graduate in Mathematics/Statistics with 60% in graduation and more than 2 years of total work experience

Post completion of the program, a PG Certificate in Machine Learning and Natural Language Processing would be granted from IIIT – Bangalore.

Refund Policy: 

• You have to pay an amount of Rs. 25,000 as caution money/block amount for the enrollment of the program. This will be adjustable against the total program fee payable.
• You can claim a refund for the course at any time before the cohort start date by sending an email request to your Student Mentor and Admissions Counselor with reasons listed. The pre-program preparatory session (prep) login will be activated immediately post completion of the ‘payment of the block amount (caution money)’ or on the ‘Specified date’ as communicated by UpGrad. Processing fee of Rs. 10,000 will be levied in case refund is claimed.
• You have to pay the balance fee within 15 days of payment of block amount (i.e. caution money) or cohort start date, whichever is earlier, otherwise the admission letter will be rescinded and processing fee of Rs. 10,000 will be levied.
• Any taxes paid by you shall not be refundable, and the amount to be withheld will be higher of taxes paid or Rs. 10,000 processing fees.
• There shall be no refund applicable once the program has started. This is applicable even for those students who could not complete their payment and could not be enrolled in the batch opted for. However, the student can avail pre-program deferral as per the policy defined below for the same.
• Refund shall be processed to an eligible student within 30 working days from the date of receipt of written application from him/her in this regard.
• Refund shall be subject to deduction of Rs. 10,000 processing charges or the GST paid, whichever is higher as mentioned above.

Deferral Policy (Post Program Commencement): If a student is facing severe issues in dedicating time to the course, we provide the opportunity for the student defer to another batch. A student can request for deferral ONLY ONCE and to either of the scheduled cohorts to start in the next 1 year from the batch date of the initial batch the student enrolled for of the same program.

A student will be required to pay a deferral fee of 10% of program fees + ST. The deferral request will be approved once the deferral fees are paid.

Till this is completed, the student will be assumed to be continuing in the same cohort. A student will start learning on the new cohort from the point of leaving the deferred cohort. If, however, the deferral request is raised before the issue of login - 10% deferral fees will not be charged and the student will be deferred to the next scheduled cohort.

Deferral Policy (Pre- Program Commencement):

If a student, due to unavoidable circumstances is unable to commence with the cohort and requests for a deferral before the cohort starts, we provide the opportunity for the student to defer to another batch.

However, the student will be required to pay 50% of the total course fee amount (inclusive of taxes) before the deferral can be approved. Till this is completed, the student will be assumed to be continuing in the same cohort.

A student can request for deferral only once and to either of the scheduled cohorts to start in the next 1 year from the batch start date of the initial batch the student enrolled for.

The student has time till the current cohort launch date to make the payment of the 50% program fee, post which the deferral request will expire and the student will have to continue as part of the current cohort by paying the applicable program fees. If the student still does not wish to continue with the program, he has the option to withdraw, however, any amount of caution money paid will become non-refundable. (provided the 7 day refund period has passed)

The fee applicable to the deferred student will be as per the prevailing fee for the batch student has opted to defer to (No additional deferral fee is required to be paid).