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Professional Diploma in Big Data and Data Science.


Improve Your Career Options!

The Big Data and Data Science disciplines have evolved over the past decade crossing many vertical industries and driving the transformation to Digital Enterprise. Such digital transformation is expected to aggressively grow to cover not only operational analytics but also a more holistic approach to addressing strategic directions like data monetization and cloud-based analytics as a service. Many organizations have massive data assets collected on very granular level through customers’ interactions especially from social marketing channels. Big Data and Data Science tools will enable these organizations to leverage this gold mine of information to their advantage.

“Digital Business Incompetence Will Cause 25 Percent of Businesses to Lose Competitive Ranking by 2017”, Gartner.

Conducting this transformation for enterprise corporates would require enabling capacity building of the necessary expertise to lead on both line of business and corporate levels. Building the skills for Data Scientists, Big Data Architects, Big Data Engineers and Team Leads is a necessary first step to prepare for such a strategic move and strengthen current data related initiatives. This represents strong career advancement potential for individuals seeking to distinguish themselves in highly competitive market.

By 2018, in U.S. only, there will be a need of almost half a million qualified data scientists, plus a need for 1.5 million executives and support staff who have an understanding of data – based on The McKinsey Global Institute.

As part of its commitment to be at the cutting edge of technology and science, NU introduced a Big Data & Data Science Professional Diploma (BDDS-PD) in 2015. The BDDS Professional Diploma consists of four courses (each minimum of 36 hours of instruction) and a hands-on end-to-end project using a real-life customer-like engagement context to integrate what was learned in the courses. The professional diploma provides a unique combination of science, business, technology and industry knowledge aligned with the information and communication industry advancement in this area. As such, it allows students to acquire solid professional skills as well as earn credit hours that may be used to continue studying towards a Master’s degree subject to NU rules and admission requirements.


Cloudera certificate

Follows Cloudera training and provides the students with the knowledge and skills required for the Cloudera certificate.

Addresses the ever-increasing

Addresses the ever-increasing market demand on Data Scientists and Big Data Professionals

Solid Expertise

Builds solid expertise and know-how in relatively short time.

Combines science, technology

Combines science, technology and applications aligned with needs of industry leaders and key vendors in this domain.

Provides hands-on

Provides hands-on, mentored case-driven project in real-life context.


Is certified by Nile University.

Provides credit hours

Provides credit hours for potential NU Master’s programs subject to NU admission requirements.

performance evaluation

Provides ability to track performance evaluation and grades of each student sponsored through a group customer agreement.


Achieve the best results with our specialised courses!

The Big Data & Data Science Diploma requires the successful completion of 4 courses and a hands-on group project according to the following structure:
Semester #1 (2 Courses)

1- CIT-650 Introduction to Big Data, Hadoop and Spark (3Cr, 42 Hours, 14 Lectures)
2- CIT-651 Introduction to Machine Learning and Statistical Analysis (3Cr, 42 Hours, 14 Lectures)
Semester #2 (2 Courses + 1 Project)

3- CIT-652 Advanced Big Data Analytics Technologies and Applications (3Cr, 42 Hours, 14 Lectures)
4- Only 1 of the 2 following courses:
- 4.1 CIT-653 Practical Data Mining (3Cr, 42 Hours, 14 Lectures)
- 4.2 CIT-690 Advanced Methods & Applications in Data Science (3Cr, 42 Hours, 14 Lectures)
5- CIT-710 Hands-on group project based on real life use case (6 Weeks of Mentoring)

Course content may vary with the instructor



Dr. Ahmed Fahmy

Dr. Samhaa R. El-Beltagy

Dr. Inas A. Yassine

Dr. Sameh El-Ansary

Dr. Seif Eldawlatly

Eng. Hisham Arafat

Karim Sobh

Dr. Sherif Sakr

Dr. Ahmed Awad

Dr. Mahmoud Allam

Dr. Mohamed El Beltagy

Dr. Neamat el Gayar



• The Big Data & Data Science Professional Diploma follows NU all NU academic regulations, Admissions and refund policies unless otherwise specified.
• Special group discounts are available pending approval.

Applicants holding non-computer-related degrees may also apply if they have proven sufficient experience in the IT field (e.g. attended IT diplomas, computer courses, ..etc). The application will be reviewed by the admission committee and an interview may also be required to determine eligibility to register in the BDDS professional Diploma. The applicant must provide information demonstrating their experience record with proof.

The diploma is primarily intended for graduates with computer science degree and practical experience in IT. In special cases, however, some top undergraduates with strong background and demonstrated maturity may be accepted. As such, applications from undergraduate students will be assessed on case-by-case basis. The applicant must demonstrate they have sufficient IT background and are capable of dealing with graduate level studies.

This diploma follows Cloudera training and it provides the students with the knowledge and skills required for the Cloudera certificate. However, you must take the Cloudera exams to get the Cloudera certificate.

We strongly advise you to register for the diploma from the start. If after completing a set of courses, you choose to not register for additional courses, you can do so without penalty. Once registered in a course, NU regulations regarding course withdrawals apply.

We strongly recommend taking the courses in the order presented, as each subsequent course will build on material from previous courses.

Courses are offered at Nile University, 26th of July Corridor, Juhayna Square, Sheikh Zayed City. Courses are typically scheduled 5:30-8:30 on weekdays. Room location and dates will be sent by email. On Occasion, a course may be rescheduled over the weekend to accommodate special experts brought in from outside Egypt. Terms start with the regular NU terms, typically early October and early March. Note that the diploma courses are offered for a given intake: two courses are offered in the first term of the diploma and the second two courses being offered in the second term (one required and one of two electives). The project is conducted in the six weeks following the completion of the second term. While NU strives to repeat the courses every semester, this is not guaranteed.

Since this is a Professional Diploma, you can register for the 1 credit project course and upon successful completion, you will receive the Professional Diploma certified by NU.

Students who registered in the BDDS-PD and successfully passed the courses of the Professional Diploma may apply for the Masters degree in Informatics, School of Communications and Information Technologies, Nile University. Admission to Master’s degree is not guaranteed and is governed by the university requirements (TOEFEL, GPA, ... etc). If continuing on to a Master’s degree is a possibility, you must register for the Master’s degree when starting the professional diploma.

Detailed course contents are available on the diploma website:

No, this diploma will not cover these topics.

- Upon completion of all 4 courses and the project, the student will receive:
o The BDDS-PD certificate stating “Successfully completed the program of study and fulfilled the requirements for Big Data & Data Science Professional Diploma” if student has passed all courses based on NU regulations.
The BDDS-PD certificate stating “Attended the training for Big Data & Data Science Professional Diploma” if the student receives an F in any of the courses and does not successfully complete it later.
- There is no final grade for the overall BDDS-PD diploma.
- Certificates are signed by Informatics Program Director and have the NU official stamp.

Applicants who would like to attend certain classes without earning any credit may apply as auditors. This category of admission is dependent on space availability. Students are not eligible to sit for examinations, submit papers and assignments, earn academic credit and grade, or receive any enrollment certification from Nile University.
The credit courses are offered in the professional diploma at a discounted rate of 50%, the same 50% discount will be extended to auditors.

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Admission Requirements

- A bachelor degree in computer science, computer engineering or equivalent degrees. Applicants holding non-computer- related degrees may also apply if they have proven sufficient experience in the IT field (e.g. attended IT diplomas, computer courses, ..etc.) . Acceptance will be subject to program approval.

- A grade of “Good” from recognized universities in Egypt or a GPA of 3.0 from an accredited university or program.

- A course in operating systems;

- Programming experience in Java, Scala, Python

- Undergraduate level of statistics, calculus and algebra is required.

- A general understanding of networking and distributed systems.

- Familiarity with Linux and databases will be helpful.

- Familiarity with math, statistics and quantitative methods