Bachelor of Science in Digital Forensics

Introduction

About the Program

Investigate Computer Crime

The Digital Forensics specialization provides the necessary knowledge, and skills needed to collect, process, preserve, analyze, and present the computer-related evidence in support of criminal, fraudulent, counterintelligence, or law enforcement investigations. Students will use a variety of hands-on tools, with the support of well-established international methodologies employed in a variety of environments related to operating systems, file systems, networks, mobile devices, and electronic discovery of data.

The idea is a continuum of thoughts within the industry stakeholders in developing expertise in digital forensic investigation, enterprise security, criminology, prevention of hostile cyber-behavior, criminal activity and breach of rules and procedures in a network-centric environment.

Mission

The mission of the program is to prepare students for a successful professional career in computer science and information technology by equipping them with knowledge and skills in latest trends and technologies of computing field. The program strives at empowering students to conduct applied research, provide innovative solutions to computing problems and lifelong learning.

Program Educational Objectives

Have a graduate degree or professional career in computer science or related disciplines.

Become successful researchers, team members or leaders.

Maintain high standards of work ethics, social responsibilities and professionalism.

Specialize in solving technical problems using computing knowledge, skills and competence.

Be creative, effective, and productive members of the local, regional and international communities.

Program Learning Outcomes (Student Outcomes)

Seek professional development and postgraduate degrees in the fields of Information Technology and Management.

Work in teams and demonstrate effective communication and collaborative research skills.

Demonstrate knowledge and skills in the fields of Information Technology and Management.

Show ethical, professional and social qualities.

Be an effective member of the community and make positive contributions to the society.

Program at a glance

Total Credit Hours

126 Credit Hours

Duration

4 Years

Instruction Language

English

Tuition Fees

AED 57,330 Yearly

Quality assured

Accreditations

Accredited by ABET

Accredited by CAA

Program Director

Dr. Alyaa Amer

Assistant Professor

Credit breakdown

Program Structure

Course Category	Total Number of Courses	Total Number of Credit Hours
General Education Courses	10	30
Core Courses	26	81
Specialization Courses	5	15
Total	41 Courses	126 Credit Hours

Curriculum

Courses & Descriptions

General Education Courses

ENG 101 Academic Writing 3 CH

ARLAA 105 Arabic Composition 3 CH

ARLNA 100 Arabic for Non Arab Speakers 3 CH

ARLAA 100 Communication Skills in Arabic 3 CH

DES 104 Contemporary Arab Art 3 CH

ASC 208 Emirati Studies (formerly UAE and GCC Society) 3 CH

ENG 200 English Literature 3 CH

ASC 211 Environmental Science 3 CH

MAT 100 General Mathematics 3 CH

DES 105 History of Islamic Art 3 CH

MGT 604 Innovation and Entrepreneurship 3 CH

ASC 219 Introduction to AI 3 CH

ASC 201 Introduction to Philosophy 3 CH

ASC 207 Introduction to Research 3 CH

ASC 106 Islamic Civilization 3 CH

ASC 105 Islamic Culture 3 CH

ASC 204 Middle East History 3 CH

ASC 210 Natural Science 3 CH

ASC 212 Sustainable Energy 3 CH

ASC 101 University Life 3 CH

ASC 203 World History 3 CH

Bridging Courses

Core Business Courses

Core IT Courses

Core Courses

CIT 410 Advanced Topics in CIT 3 CH

The course Advanced Topics in CS is designed to provide students with the current and emerging technologies relevant to Computer Science and Information Technology. The course aims at introducing the new advanced concepts, principles, and practices of the modern computing landscape. The course content might vary from one semester to another depending upon the emerging technologies, faculties expertise, and students’ preferences. Advanced Topics in CS course uses a variety of teaching strategies to expose students to real world scenarios, which are current industry challenges. This approach ensures that CS graduates are equipped with the contemporary skill sets required in the ever-changing industry. 
The course enables students to explore distinct areas of CS, which are not covered in the regular coursework and focuses on the identification of long-term overall aims and interests, as well as the means of using CS to help businesses achieve their organizational goals. Topics covered in this course include but are not limited to, Blockchain, Data Science, Machine Learning, Artificial Intelligence, and Big Data among others. This course aims at improving students’ soft and hard skills through assignments, oral presentations, and a final group based project.

CSC 412 Advanced Topics in Computer Science 3 CH

?The course Advanced Topics in CS is designed to provide students with the current and emerging technologies relevant to Computer Science and Information Technology. The course aims at introducing the new advanced concepts, principles, and practices of the modern computing landscape. The course content might vary from one semester to another depending upon the emerging technologies, faculties expertise, and students’ preferences. Advanced Topics in CS course uses a variety of teaching strategies to expose students to real-world scenarios, which are current industry challenges. This approach ensures that CS graduates are equipped with the contemporary skill sets required in the ever-changing industry.

The course enables students to explore distinct areas of CS, which are not covered in the regular coursework and focuses on the identification of long-term overall aims and interests, as well as the means of using CS to help businesses achieve their organizational goals. Topics covered in this course include but are not limited to, Blockchain, Data Science,?Machine Learning, Artificial Intelligence, and Big Data among others. This course aims at improving students’ soft and hard skills through assignments, oral presentations, and a final group-based project.

CET 470 Artificial Intelligence 3 CH

MAT 110 Calculus 1 3 CH

MTH 102 Calculus II 3 CH

CIT 416 Capstone Graduation Project 3 CH

The objective of the capstone graduation project is to provide students with the application of knowledge, skills, and experience gained during their program of study to complete a project collaboratively depending on the student’s major and preference. The course assumes that students have identified the proposal from the previous capstone seminar course. The course expects students to implement and evaluate their proposals. For the IT Management student, the Capstone project will focus on the design, implementation, and evaluation of an IT system or solution that addresses a specific business problem or opportunity relevant to the student’s major and preferences. The project will culminate in the submission of a final report addressing the 
solution, implementation, and impact on the organization. For a Computer Science Student, a Capstone project will focus on designing, implementing, and testing a software application or system that addresses a real-world computing problem relevant to the student’s major and preferences. Students must work in a team to develop the expected results. Students are required to present their findings through an oral presentation and a written report that will be assessed individually.

CET 444 Computer Architecture and Organization 3 CH

CIT 307 Computer Ethics 3 CH

CIT 311 Data Analytics 3 CH

BCE 212 Data Structures and Algorithms 3 CH

This course aims at providing students with a comprehensive understanding of the foundation of data structure and algorithms using Python as an implementation medium. The course aims to introduce the fundamental topics and techniques in data structure as the Analysis of algorithms and complexity, searching and sorting algorithms, and fundamental data structures.
The course starts with a review of Python programming language, then the course moves to the analysis of algorithms and their complexity using Big-O notation to allow students to evaluate the performance of algorithms to select the most efficient algorithm for a given problem and to implement them using Python.
The course exposes students to the fundamental linear and non-linear data structure and their applications including Stack, Queue, Deque, Linked list, Recursion and applications on recursion, Trees and Trees algorithms as binary search tree and its implementation, and finally graphs and graph algorithms as breadth and depth-first search algorithms.
The course is heavily dependent on the implementation of the covered topics using Python. During the course, students will work on individual assignments and group-based final projects.

CIT 212 Database Systems 3 CH

CET 240 / CSC 201 Digital Logic and Design 3 CH

MTH 200 Discrete Mathematics 3 CH

CIT 305 Internship 2 CH

CSC 110 Introduction to Computer System 3 CH

CET 346 Introduction to Operating Systems 3 CH

This course covers the essential operating system concepts. The students will be provided an introduction to operating systems including a brief history of development through the years and the five managements under each operating system. The course will also cover the topics including processes and threads in context of resource management, memory management and related schemes, CPU scheduling algorithms and file systems. Several alternative algorithms related to page replacement policies and CPU scheduling are discussed along with understanding their advantages and disadvantages. The role of the device manager will be emphasized in the context of resource sharing. Other topics such as concurrent processes and synchronization, deadlocks and security are also presented briefly. Furthermore, the students will get hands-on practical labs on modern Operating Systems including Linux and Windows. The advanced labs will introduce the practice of a scripting language to understand the various topics presented through the course outline.

CIT 201 Introduction to Programming 3 CH

MGT 105 Introduction to Statistics (formerly General Statistics) 3 CH

MTH 210 Linear Algebra 3 CH

CSC 315 Modern Programming Languages 3 CH

BCE 200 / CSC 302 Network Essentials 3 CH

CET 210 Object Oriented Programming 3 CH

PHY 100 Physics 1 3 CH

PHY 200 Physics 2 3 CH

CSC 401 Software Engineering 3 CH

CSC 304 Theory of Computation 3 CH

CIT 205 Website Design 3 CH

College Mathematics and Science Courses

Concentration Courses

CSCS 413 Computer Crime and Investigation Techniques 3 CH

CSCS 310 Information Security 3 CH

CSCS 403 Introduction to Computer Forensics 3 CH

This course provides the student with a comprehensive introductory to the uses of computers in the world of digital forensics. Through this course the student will get familiar with the known methods of computer investigations and digital evidences, the requirements of work and lab environments of computer forensics, the techniques of data acquisition and data analysis used today in computer forensics, and the legal aspects of forensics investigations. The course serves as an essential primer to digital forensics investigations. It covers the well-known techniques and tools used by investigators for acquiring, comparing, and analyzing digital evidences in computer in private and public investigations. General legal issues such as handling evidences, chain of custody, admissibility, search warrants, and working with law enforcement are also covered. Several hands-on lab exercises that includes working, analyzing, and examining digital images and evidences will be carried out throughout this course.

CSCS 404 Intrusion Forensics 3 CH

BCE 442 Malware Analysis & Reverse Engineering 3 CH

This course teaches students how to reverse engineer legacy software systems using Ghidra and IDA to identify vulnerabilities and risks. Students will learn how to analyze the behavior of these systems using static and dynamic analysis techniques and use debugging techniques to troubleshoot issues. To demonstrate their skills, students will analyze a Windows executable using various techniques. In addition, the course will address x86 and x64 computer architectures, analyzing legacy software systems, reversing malware, static and dynamic analysis techniques, data encoding, debugging techniques, binary obfuscation techniques, and packing and encryption. 
The course emphasizes teamwork and collaboration in a group project where students will design and implement practical solutions for real-world malware analysis problems. By the end of the course, students will have a comprehensive understanding of legacy software systems and be equipped with the necessary tools to identify and address security threats.

ITM 306 Server Operating System and Network Management 3 CH

Cybersecurity Engineering Core Courses

Mechatronics Engineering Core Courses

Engineering Core Courses

Thesis

Electives

Comprehensive Exam

Dissertation

Research Seminar

Basic Health Science Courses

College Core Courses

Clinical Placement Courses

Semester by semester

Study Plan

Credit hours: 126
Duration: 4 years
Terms: 9

Swipe to see each year →

Year 1
Semester 1
- — 3 CH General Education University Core Requirements – University Life
- — 3 CH General Education Languages and Communication Studies
- — 3 CH General Education Natural Sciences or Mathematics
- — 3 CH General Education Humanities or Arts
- CSC 110 3 CH Introduction to Computer Systems Core Courses
- PHY 100 3 CH Physics 1 Core Courses
Semester 2
- — 3 CH General Education University Core Requirements – Innovation and Entrepreneurship
- — 3 CH General Education Languages and Communication Studies
- — 3 CH General Education The Social or Behavioral Sciences
- PHY 200 3 CH Physics 2 Core Courses
- — 3 CH Calculus I Core Courses
- — 3 CH General Statistics Core Courses
Year 2
Semester 3
- — 3 CH General Education Languages and Communication Studies
- — 3 CH General Education Humanities or Arts
- CIT 201 3 CH Introduction to Programming Core Courses
- CET 210 3 CH Object Oriented Programming Core Courses
- CET 240 / CSC 201 3 CH Digital Logic and Design Core Courses
- MTH 102 3 CH Calculus II Core Courses
Semester 4
- — 3 CH General Education Islamic Studies
- — 3 CH General Education UAE Studies
- BCE 212 3 CH Data Structures and Algorithms Core Courses
- MTH 210 3 CH Linear Algebra Core Courses
- CIT 205 3 CH Website Design Core Courses
- MTH 200 3 CH Discrete Mathematics Core Courses
Year 3
Semester 5
- CET 346 3 CH Introduction to Operating Systems Core Courses
- BCE 200 / CSC 302 3 CH Network Essentials Core Courses
- CIT 311 3 CH Data Analytics Core Courses
- CIT 212 3 CH Database Systems Core Courses
- — 3 CH Specialization Course
- CSC 315 3 CH Modern Programming Languages Core Courses
Semester 6
- CET 444 3 CH Computer Architecture and Organization Core Courses
- CIT 307 3 CH Computer Ethics Core Courses
- — 3 CH Specialization Course
- — 3 CH Specialization Course
Year 4
Semester 7
- CET 470 3 CH Artificial Intelligence Core Courses
- CSC 401 3 CH Software Engineering Core Courses
- — 3 CH Specialization Course
Semester 8
- CSC 304 3 CH Theory of Computation Core Courses
- — 3 CH Advanced Topics in CS Core Courses
- CIT 416 3 CH Capstone Graduation Project Core Courses
- — 3 CH Specialization Course
Summer
- CIT 305 6 CH Internship Core Courses

Study Plan - Bachelor of Science in Digital Forensics

What we aim for

Program Goals

Have a graduate degree or professional career in computer science or related disciplines.
Become successful researchers, team members or leaders.
Maintain high standards of work ethics, social responsibilities and professionalism.
Specialize in solving technical problems using computing knowledge, skills and competence.
Be creative, effective, and productive members of the local, regional and international communities.

What you will learn

Program Learning Outcomes

Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions.
Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.
Communicate effectively in a variety of professional contexts.
Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.
Apply computer science theory and software development fundamentals to produce computing-based solutions.

Requirements

Program Requirements

Graduation Requirements

For undergraduate degree completion, undergraduate students must satisfy the following requirements:
1. Earn a minimum CGPA of 2.00 on a scale of 4.00.
2. Successfully complete all courses as described in the study plan.
3. The Degree Completion requirements must be met within the timeframe of the program.
4. Transfer students must successfully earn a minimum of 50% of the course credits for the program at AUE.

Admission Requirements

Admission

When can I join?

Three intakes every year

Students can join at the beginning of any semester.

Intake 01

September

Fall Semester

Intake 02

January

Spring Semester

Intake 03

May

Summer Semester

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Bachelor of Science in Digital Forensics

About the Program

Investigate Computer Crime

Mission

Program Educational Objectives

Program Learning Outcomes (Student Outcomes)

126 Credit Hours

4 Years

English

AED 57,330 Yearly

Accreditations

Dr. Alyaa Amer

Program Structure

Courses & Descriptions

Study Plan

Year 1

Semester 1

Semester 2

Year 2

Semester 3

Semester 4

Year 3

Semester 5

Semester 6

Year 4

Semester 7

Semester 8

Summer

Program Goals

Program Learning Outcomes

Program Requirements

Graduation Requirements

Admission Requirements

Three intakes every year

Fall Semester

Spring Semester

Summer Semester

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