Data Science and Artificial Intelligence

Advanced Diploma in Data Science and Artificial Intelligence

The aim of this program is to produce graduates who meet industry needs, with technical and research skills in the field of Data Science and Artificial Intelligence.

Upon completion of the program, the graduates will be able to:

Apply the principles of artificial intelligence and data science that require problem-solving, inference, perception, knowledge representation, and learning.
Apply big data tools and technologies for data extraction.
Work with datasets in a data warehouse environment to create dashboards.
Use probability, statistics, and essential math for data science applications.
Understand different phases and techniques of project management and implementation.
Apply research and communication skills fostering ethical, legal, and social responsibility.

Allotment to the Data Science and Artificial Intelligence specialization is based on the CGPA scored by the student in First Year Diploma. Requirements to progress to Advanced Diploma in Data Science and Artificial Intelligence:

Student must complete Advanced Diploma in in Data Science and Artificial Intelligence successfully with CGPA ≥ 2.5 in scale of 4.
IELTS band Score ≥4.5 or the FDL Mark should be ≥ 64 .
Lateral entry of students is governed by UTAS bylaws.

Reference: UTAS Bylaws and its Amendments (Reference: 1. MoMP Bylaws of College of Technology & its Amendments)

Data Analyst
Data Scientist
Big Data Engineer
Data Architect

Semester 1

UNEN1102 - English for Academic Purposes

CSCM1101 - Fundamentals of Computing and Information Systems

This course introduces students to various concepts of IT/IS including number systems, operating systems, networks, system development life cycle, algorithms, flow charts, and Information System infrastructure. It will also cover the use of various IT/IS systems in business organizations, careers, and certifications

CSDB1102 - Introduction to Database

This course enables the students to be familiarized with the importance of databases, core concepts of relational databases, techniques of database design and its refinement, and the concepts of non-relational databases.

CSWD1103 - Web Development I

This course introduces the practical knowledge and skills in writing markup language tags, designing style sheets, and scripting in order to design websites according to W3C standards, using the latest web tools and technologies. Fundamental Photoshop skills acquired and practiced in a manner that engages creativity and encourages experimentation.

CSCN1104 - Computer Networking Fundamentals

This course introduces the architectures, models, protocols and networking elements that connect users, devices, applications and data through the internet and across modern computer networks - including IP addressing and Ethernet fundamentals.

Semester 2

MATH1202 - Calculus I

Prerequisite:FPMP0003
This course is a first common math course at diploma level for all specializations except pharmacy and design; it plays an important role in the understanding of science, engineering, economics, computer science, and other disciplines. The course covers the quite familiar basic calculus concepts like limits and continuity, derivatives, optimization, definite integrals, exponential and logarithmic functions, trigonometric functions,and techniques of integration. The course contents are explored to the students through problem solving, to understand them better, and to improve the ability to apply them in real time

CSPG1205 - Introduction to Programming

Prerequisite:CSCM1101
This course provides fundamental programming concepts and techniques using high level programming language. In this course student will create programs which include variables, loops, decision making and different types of functions and data collections. Student will develop programs that can handle data files and include exception handling. In addition, the student will be able to produce a simple web application program.   

UNEN1203 - Technical Writing (English II)

CSOP1207 - Principles of Operating Systems

Prerequisite:CSCM1101
This course discusses the basic facilities provided by the operating system. Students will be familiarized with the functions of operating systems, including process management (processes, threads, context switch, concurrency control, synchronization, scheduling, deadlocks, etc.), primary memory management, virtual memory management, file systems, resource allocation, and information protection. Students will rewrite fundamental parts of the UNIX/Linux user space.

CSSY1208 - Introduction to Information Security

Prerequisite:CSCN1104
This course gives a comprehensive understanding of information security concepts and security services. Students will be familiarized with various types of security threats and attacks on systems and explore security measures that can be used for dealing with risks and security breaches in computer and network systems.

Semester 1

UNXX - General Requirement ( University Elective)

Uncs2215- Communication Skills
Unpr2217- Preparing for Work
Unwe2216- Working Ethics
Unis2206- Islamic Studies
Unoc2207- Oman Civilization and Man
Unct2210- Critical Thinking
Uncl2211- Chinese Language
UNFL2213- French Language
UNFL2215- German Language

CSSE2101  - Introduction to Software Engineering

Prerequisite:CSCM1101

CSDS2101 - Database Systems

Prerequisite: CSDB1102
This course prepares students to gain skills in creating, and using Structured (SQL) and Unstructured databases (NoSQL).

CSWD2101 - Web Development II

Prerequisite:CSWD1103
This course builds skills needed to develop functional and dynamic websites. Students will learn the client-server architecture, server-side scripts, database manipulation, and web security and authentication of web-based applications.

CSSE2203 - Data Structures and Algorithms

Prerequisite:CSPG1205
This course enables students to implement data structures and do analysis of algorithms. This course is designed to extend the knowledge of cognitive programming and optimization skills.

Semester 2

CSSE2202 - Object Oriented Programming

Prerequisite:CSPG1205
This course covers the basics of Object-Oriented Programming approach to provide great flexibility, modularity, and code reusability in developing computer programs. They will learn programming using objects and classes, abstraction and encapsulation, class inheritance, polymorphism, exception handling, abstract classes, and interfaces. The student will also learn the basics of Graphical User Interfaces (GUI) and event-driven programming.

MATH2101 - Mathematics for Computing

Prerequisite:MATH1200
This course covers the mathematical concepts required for modelling and enhancing mathematical skills to apply in some computer programs. The main objective of the course is to provide basic understanding of structure and construction of numerical algorithms using the following computational techniques: interpolation and approximation of functions, finding the roots of non-linear equations, Integers, applications of modular arithmetic, solution methods for matrix equations and basic introduction to vectors. This course emphasizes on the understanding of the accuracy, efficacy, efficiency and stability of the solutions obtained by the numerical methods.

UNEP2109 - Entrepreneurship

CSSE2204  - Special Topics

Prerequisite:CSSY2101
This course aims to introduce latest emerging and innovation technologies in the field of Computing. This can mean the use of a new programming language, development tool, a new process, a new design method, or targeting a new platform. This course is concerned with the most recent innovations in the field, with a view to bringing the students up to date with modern trends.

CSSE2205 - Diploma Course Project 

Prerequisite:CSSE2101 + { CSWD2101 OR CSPG1205}
In this course, students will apply the software engineering and programming concepts to develop a software application. the students will be able to develop an application for a real world requirement that has passed through the Software Development Life Cycle. It will give the students a valuable teamwork experience and communication skill.

Semester 1

UNEN3104 - Public Speaking

Prerequisite:UNEN1203

STAT3101 - Probability and Statistics

Prerequisite:MATH1202
This is a service course that is intended for students whose mathematical background is Calculus. The course follows a theoretical approach with significant examples of formal mathematical proofs. In addition, fundamental concepts are presented with intuitive examples along with practical examples using a statistical software. The course goal is to deliver an understanding of elementary statistics, fundamental concepts in probability theory, random variables, some discrete and continuous probability distributions, expectation, cumulative distribution function, probability mass function, and essential techniques of parameter estimation, tests of hypothesis, and regression analysis. After taking this course, students will be able to use a statistical package in performing data visualization, analysis, and inferences for small and large sample datasets.

CSDS3101 - Fundamentals of Big Data

Prerequisite:CSDS2101
This course prepares students to understand the fundamentals concepts of big data and its technologies. Students will learn the primary systems used in big data.

MATH3202 - Discrete Structures

Prerequisite:MATH2101
Each module has been designed in such a way that they are elaborated with both concepts and problems involving programs. The credit hours for each module are sufficient for completion of the topics. An oriented approach on practical problems and programming language adaptation will be dealt with some parts of the modules such as set theory, relations, recurrence relations and tree algorithms.  

CSPM3201 - Project Management and Acquisition

Prerequisite:CSSE2101 OR CSIS2101
This course provides in-depth discussions of project management principles and modern software project management practices as well as methodologies such as the Agile methodology. Students will also learn the concepts of acquisition, contract basics, and management skills to successfully deal with acquired technical resources. Through IT-based case studies and role-playing, they will learn about procurement and acquisition activities, develop acquisition strategies, and prepare different acquisition plans.

Major Elective 1

CSSE3104 - Computer Graphics and Games Development - Prerequisite: CSPG1205
CSSE3205 - Fundamentals of Robotics - Prerequisite: CSPG1205
CSSE4106 - DevOps and Continuous Delivery - Prerequisite:CSPM3201
CSSE4107 - Theory of Computation - Prerequisite: MATH3202
CSSE4208 - Innovation and Emerging Technologies - Prerequisite: None
CSNW3203 - System Administration - Prerequisite: CSOP1207
CSNW3202 - Cloud Computing Fundamentals - Prerequisite: NONE
CSIS3101 - Business Process Management - Prerequisite: CSSE2101 OR CSIS2101
CSIS3103 - User Experience Design - Prerequisite: None
CSIS3102 - IS Management and Strategy - Prerequisite: CSCM1101
CSSE3101 - Advanced Web Technologies - Prerequisite: CSWD1103
CSSY3202 - Web Applications Security - Prerequisite: CSWD2101
CSSY3205 - Authentication and Access Control - Prerequisite: CSSY1208
CSDS4111 - Introduction to Blockchain - Prerequisite: NONE
CSDS3205 - Data Visualization - Prerequisite: NONE
CSDS3105 - Database Programming - Prerequisite: CSDS2101
CSDS4212 - Information Retrieval - Prerequisite: CSDS3202
CSDS4210 - Pattern Recognition - Prerequisite: CSDS4104

Semester 2

CSDS3202 - Introduction to Data Science

Prerequisite:CSPG1205+ STAT3101
This course gives students a broad overview of the key steps in data science such as accessing, cleansing, exploring, analyzing, visualizing, and interpreting data.

CSDS3203 - Introduction to Artificial Intelligence

Prerequisite:CSSE2203
This course explores the foundational principles that drive artificial intelligence (AI) and Machine Learning techniques and practices implementing some AI approaches. Specific topics include search, knowledge representation and reasoning, constraint satisfaction problems, and machine learning. Students will be able to use the tools that allow use of AI in problems encountered in life.

CSRM3202 - Research Methodology

Prerequisite:STAT3101
This course enables students to use key concepts, methods, techniques, and tools in conducting research projects relevant to computing and information science field.

CSSE2203 - Data Warehouse Design

Prerequisite:CSDS2101
This course allows students to understand the principles of data warehouse. Also, to allow students to design, build and test a Data Warehouse solution. 

MATH3203 - Mathematics for Machine Learning

Prerequisite:MATH2101
This course is designed to provide mathematical theory and concepts to understand and build up skills to develop new algorithms of machine/deep learning. This course incorporates important topics from multi-variable calculus, Vector Differential Calculus and some advanced Linear Algebra topics like Matrix Factorization and singular value decomposition. The primary objective of this course is to provide prerequisite mathematics knowledge to understand advanced level machine learning concepts algorithms.

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