Mr. Ramesh Hariharan
In the emerging era, AI will simplify any decision-making. Engineering the right type of data platforms would be a key differentiator! Leading scalable data engineering initiatives will be critical for successful analytics transformation. Praxis is best positioned to offer the best of both worlds (data science & data engineering) and provide the right curriculum to be future ready!
Mr. Ramesh Hariharan
Co-founder and Director
Vice President & Global Head of Data
Advanced Analytics delivery for banking and capital markets
Dr. Sourav Saha
Dr. Sourav Saha
India’s first post graduate program in Data Engineering
Exciting campus placement opportunities
Data Engineering – The fastest growing tech career in the world
Who are Data Engineers?
Data engineering is the process of transforming raw data into valuable information. It’s a critical process for businesses that want to make data-driven decisions and is becoming more important with the advent and availability of data in our daily lives.
Data engineers are professionals skilled in the collection of data, storing it, parsing it for patterns & insights, and utilizing machine learning to analyze the data. Their job requires a critical understanding of both software development tools as well as business skills required to convert that data into valuable information.
Why should you aspire for a career in Data Engineering?
Data Engineering Market Size:
$10.6 billion to grow 4 times to $42.3 billion by 2025
$29 billion to grow to $106 billion by 2025
will account for 41% of the Global DE market by 2025
What are the different roles and profiles in Data Engineering?
A data engineer lays down the foundation for data management systems to ingest, integrate and maintain all the data sources. The person has knowledge of databases and understands the needs of the business and its long-time data scalability needs. Tools: SQL, XML, Hive, Pig, Spark etc.
Enterprise Data Architect
The overarching objective of the program is to equip students with the tools and techniques that enable them to get their first job in the exciting domain of Data Engineering. We want to give this opportunity to both those executives who are engaged in their careers and do not want to give up their existing assignments, and those who would like to attend physical classes and reap the benefits of a campus environment. This is why this program is available in a dual-learning mode.
Program co-created with Genpact and LatentView Analytics
The 6 months program is divided into three trimesters of two-months each covering
- Working with traditional data
- Engineering platforms for big data and
- Running enterprise business on cloud
The pedagogy comprises design of a contemporary and relevant curriculum delivery which is a blend of classroom lectures, use case discussions and hands-on labs, and assessment based on tests, assignments and projects.
|Working with Traditional Data||Engineering Platforms for Big Data||Running Enterprise Business on Cloud|
|Trimester 1||Trimester 2||Trimester 3|
|Concepts of Data Warehousing and RDBMS||Data Security and Privacy||Understanding Enterprise Business data generation|
|Algorithms and Data Structures||Big Data ecosystem and NoSQL on Hadoop - MongoDB and Cassandra||Application orchestration - Dockers & Kubernets|
|Python functional programming||Streaming Data Analytics with Spark||Cloud Data Lake using AWS and Azure for Enterprise Data Management|
|SQL programming||Applied Machine Learning using MLOPs||Data Visualization|
|Data Modeling & ETL||Administer Data Pipelines using Apache Airflow, Kafka and Storm||Capstone Project|
PGDM is a 2 year full time program aimed at combining the art and science of theoretical learning with the virtues of practical training.
In order to ensure academic excellence, Praxis sought inputs from XLRI in its initial years. The program at Praxis is, on the one hand, rooted in the principles of academic rigor and discipline, and, on the other, designed to offer multiple touch-points with the industry.
In response to the changing demand of the industry, and in order to train the students to take up industry-specific roles, Praxis has reorganized its curriculum to target four industry verticals. In addition to opting for one or more specializations, students are given the option of choosing an industry vertical as an area of concentration in the following verticals:
Human Resource management
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- B.Tech, BCA/MCA or B. Sc/M. Sc Computer Science /IT
- Minimum 50% or 5 GPA in 10th, 12th and Graduation
Whom is this program meant for?
Candidates who have a technology background, are passionate about technology and are good at programming
Fresh graduates with engineering or computer science backgrounds who wish to be part of the big data ecosystem
People with work experience in the traditional technology areas who want to switch to new age ‘hot’ domains
Step 2 : Evaluation of Profile and Scores
The Praxis Placement Program is a structured process committed to creating quality placement opportunities for all enrolled students. It has had a consistently 90% + placement record for its data science program and the placement team has already tied-up with prospective recruiters for the data engineering program.
On an average, for every data scientist in the team, an organisation requires 4-5 data engineers. Thus, there are plenty of exciting jobs available if you have data engineering skills.
Past Recruiters at Praxis in Data Science
|Axis Bank||Bridgei2i Analytics Solutions||Colgate-Palmolive|
|Happiest Minds Consulting||Hexaware Technologies||HSBC Analytics|
|ICICI Bank||IDFC First Bank||Infosys|
|Kantar Group||Kotak Mahindra Bank||Landmark Group|
|Latentview Analytics||L&T Financial Services||Mahindra and Mahindra|
|Tata Capital||Tata Consultancy Services||Tata IQ|
|Tata Steel BSL LtD||Vedanta||Wipro|
- Praxis Scholarships
All figures in Indian National Rupees INR
|Academic Fee||Course Material||Refundable Deposit||Installment|
*Academic Fee includes Tuition, Library and Academic activity fee.
Refunds: After admission the entire amount paid by the student shall stand forfeited except the refundable deposit mentioned above. This applies to dismissals as well as withdrawals, voluntary or otherwise, from the institute’s rolls.
Laptop: Each student must have a wi-fi enabled personal laptop before the start of classes. For the data engineering program, the laptop has to be a 64 bit machine and should be equipped with a minimum of 8 GB RAM.
Educational Loans: Praxis has tied up with Credila and Avanse Financial Services for student loans, details of which would be furnished on selection.
Disputes: Any disputes are subject to the jurisdiction of Kolkata courts only
Praxis WiT (Women in Tech) Scholarships is an initiative to encourage and support greater women’s participation in tech and data careers. This is in line with our belief that gender diversity in the workforce, especially in tech, brings immense value to the organization, the economy, and society.
The Praxis Women in Tech (WiT) Scholarship will be awarded to all selected women aspirants applying for the Praxis PG Program in Data Engineering
Why Women in Tech:
- Digital is largely about tech and data and people proficient in tech and data are poised to play leadership roles in shaping our world
- Women are acutely under-represented in the fields of tech and data, despite global conversations on gender diversity in the workforce
- The world needs more tech and data talent and women can fill this gap and drive sustainable careers and financial independence
- Decades of research suggests that diversity leads to enhanced innovation and problem solving and more women in tech implies better solutions to global problems.
Eligibility: All selected women candidates for the Post Graduate Program in Data Engineering
Scholarship Amount: INR 1 lac. Applicable PGPDE Course fee for Women-in-Tech will be INR 1 Lac
Get inspired by the Women in Tech Praxites
Associate JP Morgan Chase & co. Class of 2017
Senior Business Analyst
GEP Worldwide, Prague
Class of 2016
Deputy Manager – Data Science
Class of 2020
1.For transferring the fee online towards the course fee, the following payment gateway charges would need to be borne by the student:
|Credit Cards Transactions||1.1% + Taxes as applicable|
|Net Banking Transactions||Rs 20/- + Taxes as applicable|
|Debit Cards Transaction (above Rs. 2000/-)||1.0 % + Taxes as applicable|
|International Cards||2.65 % + Taxes as applicable|
|Amex||1.40 % + Taxes as applicable|
|Wallets (Money on Mobile/ MobiKwik / Oxigen / Pay u Money /Citrus Money)||1.95 % + Taxes as applicable|
|Cash Collection Centre||2.00 % + Taxes as applicable|
3.Fees are paid into the ‘Praxis Business School Foundation’ bank account.