Data Science & Big Data Analytics (Data Science)


Track Purpose

Data Science & Big Data Analytics track is designed to qualify special interns in the area of data science and business analytics field which is specially concerned with extraction of knowledge from large volumes of data that are structured or unstructured. The field is a continuation of the data mining and predictive analytics. The main areas of study is focused on data warehousing, data management, business intelligence, big data technologies, statistics, data mining, visualization, predictive analytics and database and SQL programming.

This track is managed by ERP Department

Job Profiles

Data Integration Specialist

A Data Integration Specialist works as a member of the data warehouse team to design/ build/ maintain integration solutions based on integration needs from business users.

Business Intelligence Analyst / Developer

A Business Intelligence Analyst / Developer is responsible for building reports and dashboards to help inform decision-making by converting data into information and facilitating insightful solutions to complex problems.

Data Warehouse Architect / Modeler

A Data Warehouse Modeler is responsible for developing, managing, and updating data models, including the physical and logical models of data warehouses, data marts, staging areas, and operational data stores.

Data Scientist

A Data Scientist is responsible for building predictive and descriptive analytics models and data analysis services to be used to mine an organization’s data. Occupants of this role also mine other unstructured data for knowledge and information to enhance the business processes. In addition, Data Scientists integrate and prepare large, varied datasets, architect specialized databases, and computing environments, then communicate results.

Big Data Developer

A Big Data Developer is responsible for designing, implementing, validating and maintaining Big Data analytics solutions on Hadoop-based platforms using different open source tools.

Big Data Engineer

Big Data Engineers develop, maintain, test and evaluate big data solutions in organizations. They build a robust, fault-tolerant data pipeline that cleans, transforms, and aggregates unorganized and messy data into databases or data sources. A big data engineer who builds large-scale data processing systems, is an expert in data warehousing solutions and should be able to work with the latest (NoSQL) database technologies. The MIT describes the job of Big Data Engineers as: "It is a technical job that requires substantial expertise in a broad range of software development and programming fields. These professionals have knowledge of data analysis, end-user requirements analysis, and business requirements analysis to develop a clear understanding of the business needs and to incorporate these needs into technical solutions. They have a solid understanding of physical database design principles and the system development lifecycle. These engineers must work well in a team environment".

Big Data Administrator

Big Data Administrators are responsible for a wide range of functions related to the maintenance and upkeep of relevant systems. Big Data Administrators handle both the administration and management of distributed storage, as well as, the processing of large data sets across clusters of commodity hardware (ex: Hadoop Cluster running MapReduce.)

Read more about job profiles...


  • 2007


    This track was established in 2007 and previously known "Data Warehousing/ Business Analytics". The track has 110 graduates working in different industry partners such as EMC2, Teradata, Vodafone, IBM, Oracle, Etisalat, ITWorx, ...etc.

  • 2013

    Big Data Analytics-Vodafone Partnership

    The project aims at performing data analytics operations on big data extracted from different social media platforms ( Twitter, Facebook) Tools & Technologies: Hadoop, RapidMiner, Pentaho, Facebook, Twitter

  • 2014

    Footfall Analytics Smartkit-Vodafone Partnership

    This project uses the core data from communication services providers (CSPs) that can be used to know the number of subscribers in a certain location, i.e. Footfall, subscriber's location, places s/he frequently visits, demographics and contacts Tools & Technologies: SAS, Weka, GoogleMaps, Java script, PHP, css3, Oracle and Ajax

  • 2015

    Social Network Analytics (SNA)- Vodafone Partnership

    This Project aimed to build SNA Solution for telecommunication industry that relies on the analysis of relationships between customers using the CSP data sources to determine the most influential customers, communities of each customer (Business, family or friends) and to recommend the top potential customers for acquisition. Tools & Technologies: Spark, Hadoop, Hive, Python, R, Oracle, OBIEE, Oracle Data Integrator ODI

Our Staff


Contact Us

Phone : 35355656
Room number : 3005


Accepted Specializations

This track is allowed for the folowing specializations only

Accepted Grades

Distinct with Honours
Very Good with Honours
Very Good

Graduation Years

Number of years you graduated must not exceed 5 years to apply for this Intake

Military Service

Military Service Status for males must be either exempted, postponed or completed

Our Courses

Available Branches

Smart Village

Address : Smart Village - 28 Km by Cairo / Alexandria Desert Road - 6 October - Building B148

Phones : 0235355656

Fax : Not Available