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.
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.
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.
Follows Cloudera training and provides the students with the knowledge and skills required for the Cloudera certificate.
Addresses the ever-increasing market demand on Data Scientists and Big Data Professionals
Builds solid expertise and know-how in relatively short time.
Combines science, technology and applications aligned with needs of industry leaders and key vendors in this domain.
Provides hands-on, mentored case-driven project in real-life context.
Is certified by Nile University.
Provides credit hours for potential NU Master’s programs subject to NU admission requirements.
Provides ability to track performance evaluation and grades of each student sponsored through a group customer agreement.
Dr. Ahmed Fahmy received his B.Sc. and M.Sc. degrees in Biomedical Engineering from Cairo University (Egypt) in 1997 and 2000 respectively. He received M.Sc. and Ph.D. degrees in Electrical and Computer Engineering from the Johns Hopkins University (Maryland, USA) in 2003 and 2006 respectively. Dr Fahmy is currently an associate professor of Biomedical Engineering in Cairo University (Cairo, Egypt). He is also the director of the Medical Imaging research lab and the Informatics academic program in Nile University (Cairo, Egypt). In 2013, Dr Fahmy received the State-of-Egypt Award in Engineering Sciences for his scientific contribution in the biomedical engineering field. He also became a senior member in the IEEE institute in 2012. Dr Fahmy is the principal investigator in a number of internationally funded research projects and has more than 70 peer-reviewed scientific articles. Dr. Fahmy’s current research includes statistical analysis, stochastic signal processing, medical imaging, and image processing.
Dr. Samhaa R. El-Beltagy is a currently a full Professor at Nile University (NU), Center for Informatics Science, where she's head of the Text Mining Research Group. She received her PhD in Computer Science from the University of Southampton, UK in 2001, and her Masters and Bachelor degrees in Computer Science from the American University in Cairo in 1997 and 1993 respectively. After completing her PhD, Dr. El-Beltagy has taken on technical leadership in numerous national developmental projects. In 2009, she was awarded the title of ACM senior member which recognizes “ACM members with at least 10 years of professional experience […] who have demonstrated performance that sets them apart from their peers”. It is worth noting that she is the first person with an Egyptian affiliation to have been awarded this title.
Over the past 10 years, Dr. El-Beltagy been focused on the area of text analytics. During the past two years, she has given two keynote speeches in international conferences about Social Media Analytics. She was also able to bring the CICLing conference series to Egypt in April 2015 and chair the local organizing committee (CICLing is one of the biggest international and most reputable conferences series on computational linguistics and natural language processing). In conjunction with CICLing, Dr. El-Beltagy and Dr. Khaled Shaalan (British University in Dubai), have initiated the ACLing conference series (The Arabic Conference of computational Linguistics). ACLing will hence forth alternate between being held in Egypt, and being held in the UAE. She currently has over seventy refereed international publications and has served and continues to serve on the international program committees of numerous reputable international conferences and workshops, directly and indirectly related to the general field of “Data Analytics”. She has also served as an external reviewer for a number of international journals, and national projects.
Dr. Inas A. Yassine is currently an SBME Assistant Professor and part time Assist. Prof. in Computing and informatics Technology in Nile University(NU). She also serves as a secretary for IEEE- YP Egypt. received her B.Sc. and M.Sc. degrees from the Biomedical Engineering Department (SBME), Cairo University in 2003, and 2006 respectively. She has received her Ph.D. degree from, West Virginia University, USA in 2010. In July 2003, she had been honored a Nabil Bassiouny Award and received the Best Graduation Project Award and Best MSc. Degree Thesis Award in 2006 2008 respectively. In 2009, she received Best Paper Award from the International Symposium on Visual Computing, USA. In 2010, she was also received WVU Women Recognition Award, WV, USA. She has more than 30 peer to peer reviewed publication. She has also served as an external reviewer for a number of international journals, and national projects. In addition, she is the PI of a research project Funded by ITIDA. Her current research interests include Machine Learning, Medical Image analysis and visualization, Data Science and analytics.
Inas had been actively involved in the organization team of several conferences and events as IEEE-Cairo International Biomedical Engineering conference CIBEC in Cairo in 2006 as a volunteer, while served as a publication chair in 2012 and 2014. She was also a member of the publication team for IEEE-EMBS 2005 in Shanghai. She participated in IEEE–EMBS-ISC-Egypt as a student context advisor and as conference advisor in 2013 and 2015 respectively.
Dr. Sameh El-Ansary is an Assistant Professor of CIT at Nile University since 2007. He received the B.Sc. and M.Sc. degrees in Computer Science from the American University in Cairo, Egypt, in 1998 and 2000 respectively. He received his Ph.Lic. and Ph.D. in Computer Science from the Royal Institute of Technology, Stockholm, Sweden in 2003 and 2005 respectively. Since 2000, he has been working as a researcher at the Swedish Institute of Computer Science. He conducted research in collaborative development of ontologies, virtual machines for mobile devices and P2P systems with a focus on structured overlays (aka Distributed Hash Tables (DHTs)). In this field, his contributions include a framework for structured overlays based on distributed k-ary search, a system based on this framework, an optima broadcast algorithm for DHTs. He also collaborated with physicists in an attempt to use physics techniques in the analysis of large-scale distributed systems. His current research interest is scalable content distribution with a focus on Peer-To-Peer live streaming.
Dr. Seif Eldawlatly is currently an Assistant Professor at Nile University and the Computer and Systems Engineering Department, Faculty of Engineering, Ain Shams University. He received his PhD in Electrical and Computer Engineering from Michigan State University, USA in 2011. He received his MSc and BSc in Electrical Engineering (Computer and Systems) from Ain Shams University in 2006 and 2003, respectively. His research focuses on utilizing machine learning and signal processing techniques to develop invasive and non-invasive Brain-Machine Interface (BMI) applications. He is currently the principal investigator of multiple funded research projects that aim at developing BMI applications for people with motor disabilities as well as people with visual impairments. He has more than 30 refereed publications in this area.
Eng. Hisham Arafat, Big Data & Data Science Program Development Director @ Nile University, is technology strategist experienced solutions architect, consultant & researcher possess 20+ years of professional engineering, computer systems and information technology hands-on experience in leadership, technical and consulting roles. He is currently focusing on innovation, research and development in the Data Sciences, Big Data, Cloud Native and 3rd platform open source technologies. Working globally for international solutions vendors, he conducted 100+ solid engagements for key customers across Middle East, Africa, Far East, Europe, Russia, South America and USA using enterprise class industry applications and technologies. Hisham has got experience in diversity of industries including Engineering & Construction, Industrial Manufacturing, Retail & Distribution, Oil & Gas, Utilities, FS, Transportation and Telecom, Gov., Healthcare. His previous job was Program Manager, EMEA Applications Consulting in EMC professional services practicing the implementation of Data Sciences, Big Data, Could Foundry, 3rd platform and Pivotal stack solutions. As EMC SME in Big Data, Data Sciences, Cloud and 3rd platform solutions, he delivered 50+ workshops during the past 5 years for EMC key customers, employees and partner’s across the globe. Hisham also contributed as reviewer for the EMC publication: Data Sciences and Big Data Analytics text book. Before EMC, he used to be Master Principle Solutions Architect / Applications Lead at Oracle Corporation in MEA region and member of Oracle EMEA Solutions Architects workgroup responsible for developing the architecture practices. He leaded the engagements with named customers in MEA region to assess and architect multi-pillar enterprise business technology solutions including business applications, business intelligence, master data management, data governance, business transformation, enterprise integration and analytics solution. Hisham also has got previous experience with Microsoft, Sun, Borland and IBM leading technologies working for regional ISV and offshore software engineering providers. He has conducted two official product launches for Microsoft: Enterprise Project Management (EPM) and SharePoint Portal Solutions – worked as regional consultant for Microsoft .Net platform and Enterprise Servers – Early achiever of Windows platform and .NET Architect. Hisham was also public speaker and presenter in several conferences and events. He is post-graduate Information Technology Institute (ITI) Software Engineering in 1998 and Faculty of Engineering, Alexandria University 1996. He likes Islamic sciences, playing basketball, family outdoor activities, fishing, camping, poetry and hand-made wood crafting.
Karim Sobh is currently a lecturer at University of California Santa Cruz UCSC, and has a Ph.D. in Computer Science from the American University in Cairo AUC. He received his B.Sc. and M.Sc. degrees in Computer Science from the same university. Dr. Sobh’s specialization is in distributed systems and cloud computing, and his Ph.D. topic is metering cloud environments. As a systems architecture consultant at IBM Egypt his role was to provide system architecture consultations for large projects. Moreover, he is the founder of Code-Corner, a software development firm providing software development, subcontracted services, cloud deployment services, consultation services, and turn-key solutions using open source technologies. Currently Dr. Sobh works as a lecturer at Jack Baskin School of Engineering, University of California, Santa Cruz UCSC, and he teaches Operating Systems, Computer Security, and Advanced Programming for the undergraduate program.
Prof. Sherif Sakr, is the Head of Data Systems Group at the Institute of Computer Science, University of Tartu. He received his PhD degree in Computer and Information Science from Konstanz University, Germany in 2007. He received his BSc and MSc degrees in Computer Science from the Information Systems department at the Faculty of Computers and Information in Cairo University, Egypt, in 2000 and 2003 respectively. Prof. Sakr's research interest is data and information management in general, particularly in big data processing systems, big data analytics, data science and big data management in cloud computing platforms. Prof. Sakr has published more than 100 refereed research publications in international journals and conferences such as: Proceedings of the VLDB endowment (PVLDB), IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), IEEE Transactions on Service Computing (IEEE TSC), IEEE Transactions on Big Data (IEEE TBD). Prof. Sakr is a constant reviewer for IEEE TKDE, IEEE TSC, IEEE TBD, IEEE TCC, IEEE Software, ACM CSUR, ACM TWEB, ACM TAAS, DKE Elsevier, JSS Elsevier, WWW Springer, Distributed and Parallel Databases Springer and many other international conferences and journals. He is an associate editor of the cluster computing journal and Transactions on Large-Scale Data and Knowledge-Centered Systems (TLDKS). He is also an editorial board member of many reputable international journals. Prof. Sakr is an ACM Senior Member and an IEEE Senior Member. In 2017, he has been appointed to serve as an ACM Distinguished Speaker and as an IEEE Distinguished Speaker. Prof. Sakr is serving as the Editor-in-Chief of the Springer Encyclopedia of Big Data Technologies. For more information, please visit http://math.ut.ee/~sakr/”
Dr. Ahmed Awad, is senior research fellow at Data Systems Group at the Institute of Computer Science, University of Tartu, Estonia. Dr. Awad got his PhD from Hasso-Plattner institute, Potsdam University, Germany on 2010. Before that, he got his B.Sc. and M.Sc. degrees from Cairo University on 2000 and 2003 respectively. Dr. Awad’s research interests are in big streams processing, complex event processing, (incremental) machine learning over streams and applications thereof, especially in business process management. Dr. Awad has more than 40 publications in international journals as Information Systems, Information and Software Technology, Cluster Computing, conferences and workshops.
Dr. Mahmoud Allam is a Professor, ex-Director and founder of the Software Engineering & Computer Engineering programs at Nile University. He holds B.Sc. (1985) and M.Sc. (1988) degrees in electrical engineering from Cairo University, a Ph.D. (1994) in electrical engineering from the University of Wisconsin - Milwaukee, USA; and an Executive Development Diploma from IESE Business School, Spain (2005). Since 2004, Dr. Allam worked as academic consultant for Nile University (NU) Project, Ministry of Communications and Information Technology, and was a member of the core team that founded NU. Since NU's launch in 2007 he served in several key positions including Vice President, Assistant Provost, and founding Dean of the School of Communication and Information Technology. Prior to joining NU, he was the founding chairman of the Information Systems Department at the Université Française d'Egypte and an adjunct professor in a number of other universities, including the American University in Cairo, the Arab Academy for Science & Technology, and Modern Sciences & Arts University. Before returning to Egypt, he was a research fellow at the Ultrasound Research Lab at Mayo Clinic, USA. Dr. Allam is the managing director and owner of Metaco-Egypt, a consulting firm specialized in high voltage testing and measurements and the official representative of Haefely Hipotronics (a Hubbell company) in Egypt. At Metaco, he established and headed the software development division since 1996. This division develops software for industrial applications, and factory automation to clients worldwide. Dr. Allam is also consultant for a number of industrial companies in Egypt and internationally. He authored over 30 journal and conference papers, book chapters, and supervised more than 30 Master and PhD students. He is a Senior Member of the IEEE, and ex-Chairman of board of Internet Masr (Internet Society - Egypt Chapter). Phone: +20 2 3854 1741 Email: firstname.lastname@example.org
Mohammed El-Beltagy has extensive experience applying optimization, machine learning, simulation, modeling and agent-based models to a variety of business and engineering problems. He is currently the CEO of Optomatica, a Cairo based Optimization and Machine learning company. He is also the CTO and co-founder of RaceFox, an AI coaching company based in Stockholm. Mohammed received a Ph.D. degree in Mechanical Engineering from the University of Southampton, UK. He was a Senior Scientist at Bios Group, Inc., in Santa Fe, New Mexico, where he helped to optimize various aspects of the operations of several Fortune 50 companies. He was a co-founder of Peerialism (later Hive Streaming), a Stockholm base corporate live Streaming company. He was a co-founder of Novelari, an innovation accelerator. Dr. El-Beltagy was an Associate Professor of Operations Research and Decision Support at the Faculty of Information at Cairo University, where he lectured on Computational Intelligence and Optimization. He is the author of numerous publication in Optimization, Machine Learning, Simulation, and Agent Based Modeling. He wrote 13 international patents.
Dr Neamat El Gayar is currently a full Professor in Cairo University. Her main expertise is in the area of machine learning, data mining and computational intelligence. She has pioneer work in the area of combining multiple classifiers and semi-supervised learning. Currently she is exploring deep learning models for big data analytic applications. Dr El Gayar has worked in research projects that have had significant impact in application areas of emotion recognition, natural language processing, biometric identification, forecasting and healthcare informatics. Dr El Gayar perused her Ph.D. in the Institute for Neural Information Processing of the Faculty of Computer Science and Engineering in Ulm University, Germany. She was awarded the DAAD scholarship (German academic exchange service) for the joint Egyptian-German Ph.D. program. Dr El Gayar was the head of the Data mining and Machine learning group at the Centre of Informatics Sciences, Nile University, Cairo Egypt and the director of the graduate Software Engineering program in the same university (2008-2010). She served as an adjunct faculty in Concordia University, Montreal, Canada (2010-2017). She worked in the Centre of Pattern Recognition and Machine Intelligence (CENPARMI) in challenging machine learning applications such as sentiment analysis, word-spotting and psychological profiling. Dr El-Gayar has over 60 refereed publications and has supervised more than 30 PhD and MSc students. Recently she has edited two books; ‘Off the mainstream: advances in neural networks and machine learning for pattern recognition’, Springer and ‘Special Issue on Computational Linguistics, Speech & Image Processing for Arabic Language’, World Scientific. As an accomplished researcher in the area of machine learning and computational intelligence, she was invited to serve as the chair of the technical Committee TC3 on Neural Networks & Computational Intelligence of the International Association of Pattern Recognition (IAPR) from 2012-2016 and as a vice chair from 2009-2011. She also organized and chaired two main workshops in the field of machine learning: 1. Artificial Neural Networks in Pattern Recognition (2010, 2014, 2016) and 2. Multiple Classifier Systems (2010).
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.http://www.nu.edu.eg/index.php/master-of-communications-and-information-technology-informatics-mcit-inf
Detailed course contents are available on the diploma website: http://bigdata.nu.edu.eg/http://bigdata.nu.edu.eg/
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.
- 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