An eleven-week in-depth program covering the Apache Hadoop framework and how it fits with Big Data
DePaul University's Big Data Using Hadoop Program is designed for IT professionals whose companies are new to the Big Data environment. Growing interest in Apache Hadoop and Big Data is driving the demand for professionals with skills to derive value from all data. Big Data refers to the ever increasing amounts of unstructured data being generated by websites, sensors, and other sources as well as transactional data from enterprise applications. Hadoop is an open-source implementation of frameworks for reliable, scalable, distributed computing and data storage, which can be used for managing Big Data. This program will walk through installation, provisioning, and ongoing resource management within a Hadoop cluster. The program also covers the full lifecycle of a Hadoop deployment using realistic hands-on lab experiments. Students will obtain a deeper understanding of Hadoop using real-world use cases to help provide an understanding of the power of Hadoop.
DePaul University has partnered with Cloudera® through the Cloudera Academic Partnership (CAP) to foster the next generation of Big Data professionals. DePaul uses Cloudera® academic program materials and its industry-leading software products and tools to deliver high-quality training programs with stateof-the-art Big Data processing technology. Students will learn how to design, build, launch, deploy, and scale an application using Hadoop in different platforms. Classroom lectures and demonstrations will be complemented by hands-on labs, reading assignments, case studies, and projects. In order to maximize learning, students will be required to bring their own laptop computer to every class session. While access to most cloud services explored in the program will be provided to students in class, there may be some cloud services that are only accessible via the use of a student’s own credit card. Students should expect to spend a small fee to access these services.
Students in this program will learn:
- Big Data characteristics, the Hadoop ecosystem, and core technologies of Hadoop
- How Hadoop Distributed File System (HDFS) and MapReduce work
- How to develop and test MapReduce applications
- How to use MapReduce combiners, partitioners, and the distributed cache
- How to implement common algorithms in Hadoop
- What hardware configurations are optimal for Hadoop clusters
- How to configure Hadoop's options for best cluster performance
- How to use ETL-like tools such as Sqoop and Flume to bring data into Hadoop
- How to install/run Hadoop in the Cloud
- How to integrate other tools with Hadoop such as Apache Pig, Apache Hive, etc.
- Use cases and best practices to process Big Data with Hadoop
For a complete program description,
download the program's brochure.
Dates & Location
Autumn Quarter 2018:
Application Deadline:Aug. 22, 2018 *Still taking applications*
Tuition Deadline:Aug. 29, 2018
Classes Begin:Sept. 10, 2018
Classes End:Nov. 19, 2018
On-campus section: Classes meet on Monday evenings(5:45pm-9pm) at DePaul's Loop Campus at 243 S. Wabash Avenue, Chicago.
hybrid mode will be conducted this quarter. About one-half of the program content will be delivered by on-campus class meetings; the remaining program content will be delivered via online lectures that the student will be required to view.
On-campus meetings will be held on six (6) Mondays: Sept. 10, Sept. 17, Oct. 1, Oct. 15, Oct. 22 and Nov. 5, 2018. A two- to three-hour online lecture will be assigned for viewing on the weeks that there are no on-campus class meetings.
Online section: Students may elect to register in an online section of this program. For more information about the online section, click
Autumn Quarter 2018
$2,600.00if registering for the undergraduate-level section (IPD 347)
$3,400.00if registering for the graduate-level section (IPD 447)
Regular DePaul University students are charged the above rates based on their degree program. The tuition fee for this program is not included in the university's tuition package for full-time undergraduate students.
Full payment of tuition must be received before the start of the program. Students who elect to pay tuition using a credit or debit card will be assessed a non-redundable 2.75% convenience fee.
Refund/Cancellation Policy: DePaul reserves the right to cancel any program before that program’s first scheduled meeting, in which case tuition fees (but not convenience fees) will be refunded. The university's refund policy allows a return of 100% of tuition if the student drops the Big Data Using Hadoop Program by September 24, 2018 (convenience fees will not be refunded).
Each program requires a $40.00 (non-refundable) application fee that can be paid online (via credit card) during the online application process. If you need to pay this fee by check or money order, please make the check or money order payable to DePaul University and send it to:
DePaul University Institute for Professional Development
243 S. Wabash Avenue
Chicago, IL 60604
Textbooks are a separate purchase to be made by students.
Reading materials for certificate programs consist of textbooks and supplementary handouts. Textbook readings are considered preparatory in nature and are typically assigned prior to lectures; supplementary handouts are frequently distributed in class to provide additional information.
There are no required textbooks for this session.
While access to most Cloud services explored in the program will be provided to students in class, there may be some Cloud services that are only accessible via the use of a student's own credit card. Students should expect to spend a small fee to access these services.
CTA U-Pass Fee: Beginning Autumn Quarter 2016, any IPD certificate program student who enrolls in a full-time course load (8 graduate or 12 undergraduate credit hours) and where at least one course is taught at an on-campus location will be automatically enrolled in the University’s CTA U-Pass program. The CTA U-Pass program provides unlimited rides on CTA transport and it requires that all eligible students participate in the program. The cost of the CTA U-Pass is $105.00 per quarter. Students who meet the eligibility criteria will have this fee added to their student accounts. Students are responsible for this fee regardless of benefit use or card pick-up. Students who are taking courses exclusively online do not qualify for this program. Further information about the U-Pass program is found at
Fees are payable by check made out to DePaul University, or by credit card. Students who elect to pay tuition using a credit or debit card will be assessed a non-redundable 2.75% convenience fee.
Applicants who are eligible for a tuition reimbursement program offered by their employer and are interested in deferring their tuition payment using the university's Employer Tuition Deferral Plan must return the Employer Tuition Deferral Plan application to the Institute for Professional Development Office. Submitting this application to any other DePaul office may delay the student's registration process. Information about this plan, along with an application form, is found
Applicants who wish to use the university's Single Term Payment Plan or a third-party billing arrangement should contact the Institute for Professional Development office at (312) 362-6282 for details.
Applicants should have basic programming experience and experience using Windows and Linux commands. No previous Hadoop experience is necessary. In addition, students are required to bring their own laptop computers to class.
The Big Data Using Hadoop Program is an accredited course of DePaul University, which follows the quarter system (as opposed to the semester system). Credit hours are awarded to those who successfully complete the program's academic requirements. Academic requirements may include reading and homework assignments, written assignments, labs, projects, and other assignments. No midterm or final exams are conducted.
- Course #: IPD 347; 4 undergraduate credit hours
- Course #: IPD 447; 4 graduate credit hours
Applicants select to register in either IPD 347 (undergraduate level) or IPD 447 (graduate level), unless they are currently degree-seeking students of the university. In that case, they are required to select the level that corresponds with their degree program. Additionally, applicants interested in enrolling in the graduate section must have completed a bachelor's degree.
IPD 347 and IPD 447 are combined courses, with students attending the same lectures or viewing the same lectures (for those completing the program online). However, students in the graduate section are required to perform additional coursework than those in the undergraduate section.
Once the program begins, a student cannot switch from undergraduate level to graduate level or vice-versa and must remain in the level chosen or withdraw from the program. Please contact the Institute office for advice on which academic level to select.
The ability to apply these credit hours to a degree program is always determined by the college granting the degree. To view course transfer guidelines for DePaul's College of Computing and Digital Media (CDM), click
Application & Registration Procedure
All interested parties should apply for admission using the Institute for Professional Development's
online application; or, to apply via fax, mail, or in person, print out and complete the
Application Form. Upon admission, the Institute office will contact the prospective student with information and instructions about the registration process.
Registration is restricted to admitted students. IPD staff will register students upon receipt of payment and registration form. Regular DePaul students cannot register themselves via the university's registration system.