Data ScienceAcademic Programs

( Diploma and Master )

Faculty of Graduate Studies

For Statistical Research

Dr.Ammar MohammedAssociate Professor of Computer Science

Data Science Programs Coordinator

Introduction

The Harvard Faculty of Arts and

Sciences(USA) is pleased to announce thelaunch of a new Master of Science (SM)degree in Data Science. The new degree,under the joint academic leadership ofthe and Statistics faculties and administeredthrough the Institute for AppliedComputational Science (IACS) at the John A.Paulson School of Engineering and AppliedSciences (SEAS), will train students in therapidly growing field of data scienceComputerScience

Data Science degrees are usually organizedby Department of Statistics and the Department ofComputer Science

c

Introduction

Harvard MIT Stanford

Data Science in well known universities all over the world

Data Scientist is the sexiest job of the 21 Century: Said“Harvard Business Review”

Introduction

االتجاهات الحديثة والجامعات العالميةData Science in well known universities all over

the world

Singapore EDINBURGH CAMBRIDGE

Introduction

االتجاهات الحديثة والجامعات العالميةData Science in well known universities all over

the world

Singapore EDINBURGH CAMBRIDGE

Data Science Institutes in USA

MichiganColumbiaBerkeley

Introduction

Data Science institutes in Canada

WaterlooCarltonBritish Columbia

Introduction

Data Science institutes in UK

Introduction

“Tell your Kids to Be Data Scientists, Not Doctors”. Said Linda Burtch, the founder of data Science and analytics Recuritment Agency (Burtch Works)

Data Science is an emerging area offered by

prestigious Universities

Introduction

Stanford Initiative

Harvard Initiative

Data Science In Cairo Unversity

The first Data Science Acedamic ProgramsPrepared in:2017Launches: Academic year 2019/2020.(Credite hours)

Two Programs: Diploma and Master in Data Science

Phd Program: Coming soon`

Faculty of Graduate Studies

For Statistical Research

Diploma in Data Science

شروط القبول

إحدىمنبهمعترفعالمؤهلعلىحاصلاًالطالبيكونأنلسالمجمنمعادلتهاتمالتيأوالحكوميةالمصريةوالمعاهدالجامعاتللجامعاتاألعلى

اسياتواسالبايثونبلغةالبرمجةاساسيات):القبولإختبارإجتيازالشخصيةوالمقابلة(واالحصاءالرياضيات

Diploma in Data Science

نظام الدراسة

الدراسةًباللغةًاالنجليزيةًبنظامًالساعاتًالمعتمدة( مقرر20)ساعةًمعتمدةً 60يشترطًللحصولًعليًالدبلومةًاجتياز

مقسمةًالي

Item Credit Hour

General Requirements Credit 15

Major Requirements Credit 33

Core Elective 12

Total 60

ادنىوبحدمعتمدةساعة15اقصىبحددراسيفصلكلالتسجيليتماتالمتطلبدراسةبعداالمقررتسجيليجوزوال.معتمدةساعات9

المقررلهذاالسابقة

Diploma in Data Science

Code Course Title pre_requ lec lab activities total

DS502 Programming foundation of Data Science

- 2 2 - 3

DS520 Probability and Statistical Distribution I

DS501 2 - 2 3

All course: include Lecture/ Lab /Activities

Course Structure

Diploma in Data Science

General Requirements (15 Credits)

List of Courses

Code Course Title

DS500 Mathematical Foundations for Data Science

DS501 Statistical Methods for Data Science

DS502 Programming Foundations for Data Science

DS503 Introduction to Biostatistics and Demography

DS504 Introduction to Operations Research

Diploma in Data Science

Major Requirements (33 Credits)

List of Courses

Code Course TitleDS505 Linear Algebra

DS510 Artificial Intelligence

DS515 Introduction to Data Mining

DS520 Probability and Statistical Distributions I

DS530 Applied Statistical Inference

DS535 Data Structure and Algorithms

DS540 Practical Machine Learning

DS545 Forecasting and Time-series

DS550 Information Security

DS598 Project Preparation Skills

DS599 Capstone Project

Diploma in Data Science

Core Electives (12 Credits)

List of Courses

Course Title

Advanced Programming for Data Science

Data Visualization

DataBase Systems

Selected Topics in Data Science

Data Communication and Computer Networks

Applied Multi-variate Analysis

Probability and Statistical Distributions II

Bayesian Inference

Applied Regression

:

:

Master in Data Science

شروط القبوليلتحقًبالماجستيرًالطلبًالحاصلينًعلىًأحدًالمؤهلتًالتالية

دبلوم علوم البيانات بتقدير عام جيد على األقلعلىدجيبتقديرالحاسبأوعلوماإلحصاءفىاالكاديميةالكليةدبلوماتأحد

الكليةمجلسيقرهاتكميليهمقررات(4)أقصىبحدتكليفهمعاالقل

األقلعلىجيدبتقديرالتاليةالجامعيةالدرجاتمنأيعلىحاصالالمتقدميكونأنالهندسةبكالوريوسوالمعلوماتالحاسباتبكالوريوسإحصاءشعبةسياسيةوعلوماقتصادبكالوريوسوحاسبرياضيات-احصاء-رياضيات:شعبالعلومبكالوريوسوتأمينرياضه-االكتواريةالشعبة-اإلحصاء:شعبالتجارةبكالوريوس

البرنامجادارةمجلسيقرهامكافئهجامعيهدرجهأواي

بعدداتالبيانبعلوممرتبطةالغيرالتخصصاتذويمنالطلبتحميليجوزالكليةمجلسيقرهاتكميليةمقررات4

ة بعد الطالب الوافدين الحاصلين على درجة جامعية أولى من الجامعات االجنبيمعادلتها من المجلس األعلى للجامعات

Master in Data Science

نظام الدراسة

ينقسمًالماجستيرًاليًمرحلتين

ساعةًمعتمدة30التمهيديًماجستيرًيجتازًالطالبً: المرحلة االولي

Item Credit Hour

Major Requirements Credit 24

Core Elective 6

Total 60

عاميمضقبلالرسالةمناقشةيجوزال.الرسالةإعداد:الثانيةالمرحلةمعتمدةساعة18بوتقدرتسجيلهااعتمادتاريخمن

Master in Data Science

Core Requirements (24 Credits)

List of Courses

Code Course Title

DS605 Advanced Topics in Statistics

DS610 Advanced Machine Learning

DS615 Security and Privacy in Computing

DS620 Introduction to Deep Neural Nets

DS625 Selected Topics in Data Science

DS630 Advanced Bayesian Inference for Data Science

DS698 Scientific Research preparation

DS699 Project

Master in Data Science

Core Electives (6 Credits)

List of Courses

Course Title

Pattern Recognition

Image Processing

Advanced Deep learning

Advanced Database Systems

Time series Forcasting

Numerical Methods for Data Science

Scientific Research preparation

Cloud Computing

Advanced Calculus

Grading

Official Page for Data Science

https://www.facebook.com/FGSSR.DS

Questions