PGPLive in Data Science


PGP in Computational
Data Science

Admissions are in Progress
Batch Start: 28 November 2021

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Jointly certified by INSOFE and Case Western Reserve University
Gain a lateral entry to Top ranked USA and UK Master’s programs
PGP for Skilled Computer Programming Enthusiasts
Over 300 hours of training with eminent faculty and data scientists

Program Overview

This PGP certification is designed for programming enthusiasts who wish to gain further prowess in the field of data science and computer science. Students will be taught in depth concepts in Machine Learning, Data Mining, Computer Vision, Computational Networks, and Contemporary Issues in Data Mining and Big Data.

The PGP jointly certified by Case Western Reserve University will require students to complete numerous projects and develop small research papers on real world problems in collaboration with peers under the guidance of course mentors. In addition, students will also need to complete 100 hours of lab work on Machine Learning.

This certification in Computational Data Science will equip students to develop algorithms and build large scale enterprise grade AI applications and complex machine systems to solve real world problems.

This coursework is rigorous and is accredited by the computer science department at Case Western Reserve University as 15 credits of graduate study course work. Only students with a strong computer science background, in depth knowledge of programming, and software engineering expertise are eligible to enrol in this intense globally recognised graduate certificate program.

As we consider the implications of advanced digital skills in today’s continuous learning economy, the field of Data Science holds a uniquely central position in providing avenues for retraining and upskilling, ensuring both individuals and organizations remain economically and educationally competitive.

Case Western Reserve University’s Siegal Lifelong Learning Program is excited to offer certificates in Data Science education in conjunction with INSOFE. This credential demonstrates proficiency in some of the foundational skills associated with a number of key areas within the broader field of Data Science.

Brian Amkraut
Case Western Reserve University

Brian_Amkraut

Program Benefits

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  • icon Intense training in software engineering oriented application development.
  • icon A project after every course to hone a student's skills further.
  • icon Accreditation as graduate computer science coursework by one of the world’s leading computer science departments.
  • icon For those without statistics knowledge, a full 3 credit refresher course in statistics.

75+ World-Class Faculty

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On average, INSOFE students spends 150+ hours with international PhDs during the course of their study



Program Curriculum


PGP

In Computational
Data Science


Globally recognized certification jointly certified by Case Western Reserve University

CWRU
 

Data Mining
3 Credits
The purpose of this graduate course is two-fold: (1) broadening students' knowledge and understanding of the current frontiers of data mining research, and (2) teaching data mining research methodology and skills. The core topics to be covered in this course include data pre-processing, data warehouse, association analysis, classification, clustering, deep neural networks and other emerging data mining techniques.
 
Methods and Algorithms in Machine Learning
3 Credits
Students will be taught concepts such as association rules, decision trees, clustering, support vector machines, ensemble methods, artificial neural networks, and collaborative filtering
 
Computer Vision
3 Credits
This course provides students with a solid foundation in the key elements of computer vision, emphasizing the practical application of the underlying theory. It focuses mainly on the techniques required to build robot vision applications, but the algorithms can also be applied in other domains such as industrial inspection and video surveillance.
 
Contemporary Issues in Big data
3 Credits
The course will start with how Hadoop was invented to store and process unstructured data on distributed parallel clusters. In addition, popular on-premises and on-cloud big data infrastructures, such as Apache, Cloudera, AWS, Azure, Google Cloud, Oracle Cloud are compared and contrasted along with examining the evolution of databases, from SQL to NoSQL to NewSQL.
 
Computer Network
3 Credits
The course covers various aspects of computer networking, including (1) application layer protocols, such as HTTP and SMTP, and basics of networked application engineering, (2) transport layer protocols (TCP/UDP) and principles behind key transport-level services (reliable transmission of unreliable channel, congestion, and flow control, etc.), (3) routing, IP, and SDN, (4) link layer access protocols, wireless networks and mobility.
 
Quantum Machine Learning
3 Credits
Quantum computation is an alternative paradigm of computing that uses the properties peculiar to quantum systems. This course will consider the mathematical model of a quantum computer and examine a few algorithms which can be executed much faster on a quantum computer than a classical computer.
 
Directed Independent Research Analysis

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Prerequisites

Bachelor’s in Computer Science Engineering
Strong computer programming abilities
Prior knowledge of tensorflow and torch

Project Dissertation

All students enrolled in PGP Computational Data Science, will engage on a project that combines their theoretical computer science, programming, and data science knowledge with finding a solution to a real-world industry problem.

Students are required to build an end-to-end solution, test it's application, and present their findings at the end of the program to their peers, mentors, and data scientists. This dissertation will serve as one of the major components to assess student's work in the program and is extremely crucial to receive certification upon completing all other requirements.

A plethora of resources and opportunities

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Teaching

120 Lecture sessions

Weekly group discussions with mentors

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Hands-on sessions

224 Lab sessions

Bootcamps and Hackathons to brush-up on Python, build an online presence and solve actual data science problems

 

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Assignments

Regular Quizzes, Assignments, and a Capstone Project

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Performance Insights

50 Evaluations

Manual and automated grading and feedback with SCT

 

Sample Projects

The following are examples of sample projects that are indicative of the work individuals engage with as part of their PGP Computational Data Science coursework. You may be given similar but not the exact projects. Final project and topic decisions lie with the individual course mentors and determined based on student interest and performance in the course

 higher edu options

Students can apply to master’s programs at top U.S.A and U.K universities.

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M.Sc in Machine Learning and Deep Learning -

An in-person master’s program that would require you to travel to University of Strathclyde (UK).


Career Opportunities

MS in Computer Science with a specialization in Artificial Intelligence -

An in-person master’s program that would require you to travel to Case Western Reserve University (USA) Students are eligible to apply to a 3 year STEM OPT in the USA upon successful completion of the master's degree requirements.

career options

According to Payscale, DevOps Engineers make approximately 7+ lakhs per annum in India.

Students and working professionals who do not wish to pursue a masters can apply for Machine Learning Dev Ops Engineer positions in several industries upon successfully completing this graduate level certification program.

In all our programs, students enjoy the double benefits of career services by INSOFE and the university partner.

Over 500+ companies interviewed on average 4 INSOFEans per day last year.


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Most of our students start with a salary of 6.5 lakh INR per month and get a 300% raise in the first 12-18 months.

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Fees and Financing

Starting at 5,884 per month EMI*

* To make this extremely career-defining investment, we offer easy installment payment methods.


Program Fees: 3,50,000* + GST

Admission Fees: 50,000 + 18% GST (Non-refundable)

First instalment: 1,00,000 + 18% GST

Second instalment: 1,00,000 + 18% GST

Third instalment: 1,00,000 + 18% GST



*Scholarships up to ₹20,000 based on performance in Entrance exam and Bachelor’s Degree scores

*5% discount on the program fees is offered to those who pay the full fees at a go before the course commencement.


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