SCHOOL OF POSTGRADUATE STUDIES
Master of Information Technology
30 Credits
10 Courses
12 Months
HyFlex Delivery
The Master of Information Technology develops advanced technical and architectural capability for professionals who design, secure, and operate enterprise technology. The core establishes a common foundation in information systems and data, enterprise and cloud systems architecture, infrastructure and emerging technologies, and security governance. Each student then specializes in depth and completes a capstone within the declared track. Every graduate leaves with a working system, a defended investigation, or a validated analytical product rather than a written account of one.

AI
Artificial intelligence is embedded across the curriculum. Every course carries an applied artificial intelligence module, and every capstone must assess where artificial intelligence applies to the problem addressed and either implement it or document the reasoning for not doing so.

SCHOOL OF POSTGRADUATE STUDIES
Master of Information Technology
30 Credits
19 Courses
12 Months
HyFlex Delivery
The Master of Information Technology develops advanced technical and architectural capability for professionals who design, secure, and operate enterprise technology. The core establishes a common foundation in information systems and data, enterprise and cloud systems architecture, infrastructure and emerging technologies, and security governance. Each student then specializes in depth and completes a capstone within the declared track. Every graduate leaves with a working system, a defended investigation, or a validated analytical product rather than a written account of one.
AI
Artificial intelligence is embedded across the curriculum. Every course carries an applied artificial intelligence module, and every capstone must assess where artificial intelligence applies to the problem addressed and either implement it or document the reasoning for not doing so.
Program Basics
Specializations
Students choose one of the following tracks to deepen their expertise:
- AI Engineering and Deployment. A shared machine learning foundation, machine learning systems and deployment operations, and agent-directed software development.
- Cybersecurity and Digital Forensics. Security architecture, threat detection and response, network security and cryptography, digital investigation, and evidence handling.
- Data Science and Analytics. Analytics and business intelligence, statistical and predictive modeling, and data engineering.
Each specialization carries nine credits. Research Methods, Technical Project Management, and the Capstone are undertaken within the declared track, bringing the track-aligned load to 18 of 30 credits.
AI Engineering and Deployment and Data Science and Analytics are distinguished by output rather than by technique. Predictive modeling as an analytical method belongs to Data Science and Analytics; model deployment, serving, monitoring, and lifecycle operations belong to AI Engineering and Deployment. The two tracks share IFT 642, Artificial Intelligence and Machine Learning, as their common methods foundation and diverge from that point by output.
Objectives
The program aims to:
- Establish rigorous foundations in information systems, enterprise architecture, infrastructure, and security governance.
- Equip students to design systems and justify architectural tradeoffs against requirements for performance, cost, security, and scale.
- Develop the practical capability to build, deploy, and operate production systems and analytical products.
- Build depth in a chosen specialization sufficient to carry technical ownership in that field.
- Foster responsible practice in data protection, information security, and the ethical use of artificial intelligence.
- Prepare graduates for technical leadership across regulated and mission-critical sectors.
Expected Program-Level Outcomes
- Students will demonstrate a deep understanding of information systems and data, enterprise and cloud systems architecture, infrastructure and emerging technologies, and security governance, together with advanced knowledge of their chosen specialization.
- Students will be able to design, build, and evaluate systems, models, and analytical products to professional standard, and to justify their technical tradeoffs.
- Students will demonstrate the capability to lead technical teams, manage delivery, and communicate technical findings in terms that support executive and regulatory decision making.
- Students will be prepared to operate within data protection, security, and sector regulatory obligations, and to advocate for responsible and accountable technology practice.
What You Will Learn
- Information Systems and Data Foundations: Systems principles, data modeling, storage and processing architectures, and computational methods.
- Enterprise and Cloud Systems Architecture: Enterprise systems, integration design, deployment model selection, migration strategy, and platform scalability.
- Infrastructure and Emerging Technologies: Cloud service models, virtualization and containerization, infrastructure resilience and cost management, agent architectures, interoperability, and the assessment of emerging capability.
- Security Governance: Security architecture, risk management, compliance frameworks, and data protection regulation.
- Technical Project Management: Technical scoping, agile and stage-gate delivery, and technical risk management.
- Applied Practice: Technical problem framing, implementation, and the defense of a delivered system or analytical product.
Who You Will Become
- Engineers and architects who can build and ship production systems, not only specify them.
- Security professionals capable of defending enterprise environments and investigating incidents when defenses fail.
- Data scientists who turn organizational data into evidence that leadership will act on.
- Technical leaders able to translate between engineering teams and executive decision makers.
- Responsible practitioners who build privacy, security, and accountability into systems by design.
Where You Will Work
- Banking, payments, and financial technology
- Telecommunications and technology companies
- Federal and state government agencies and regulatory bodies
- Healthcare, energy, and logistics organizations operating critical systems
- Consulting firms, research institutions, and technology-enabled enterprises
Additional Information and Resources
-
Industries: Financial technology, cybersecurity, telecommunications, artificial intelligence and data services, healthcare technology, public sector digital infrastructure.
Relevant Professional Certifications: Certified Information Systems Security Professional, Certified Ethical Hacker, CompTIA Security Plus, Certified Analytics Professional, and recognized cloud and enterprise architecture certifications.
Sample Career Paths: Machine Learning Engineer, Data Scientist, Security Architect, Incident Response Lead, Digital Forensics Analyst, Analytics Manager, Solutions Architect, Head of Technology, Chief Information Security Officer.
Curriculum
General Core (12 credits)
|
Code |
Course |
Credits |
|
IFT 611 |
Advanced Information Systems and Data Foundations |
3 |
|
IFT 612 |
Enterprise and Cloud Systems Architecture |
3 |
|
IFT 613 |
Information Systems Infrastructure and Emerging Technologies |
3 |
|
IFT 614 |
Information Security Governance and Compliance |
3 |
IFT 612 addresses enterprise systems, integration design, and platform scalability, together with deployment model selection across on-premise, cloud, and hybrid estates, migration strategy and sequencing, and the buy-versus-build decision and technical business case. IFT 613 addresses cloud service models, virtualization and containerization, infrastructure resilience and cost management, and the assessment of emerging technical capability, and carries the substantive artificial intelligence content in the core, including agent architectures and interoperability protocols. IFT 614 covers security architecture at survey level, risk management, governance frameworks, data protection regulation, and the legal environment of information security.
Specialization: AI Engineering and Deployment (9 credits)
| Code | Course | Credits |
| IFT 642 | Artificial Intelligence and Machine Learning | 3 |
| IFT 621 | Machine Learning Systems and Deployment Operations | 3 |
| IFT 623 | AI-Powered Software Development | 3 |
IFT 642, shared with the Data Science and Analytics track, provides the common foundation in machine learning methods, model behavior, and evaluation from which the two tracks diverge. IFT 621 addresses the engineering of machine learning systems end to end: data pipelines, training infrastructure, reproducibility, deployment architecture, model serving, monitoring, drift detection, and the operational lifecycle of models in production. IFT 623 addresses agent-directed software engineering, including the coding-agent landscape, model selection, architecture under artificial intelligence assistance, and version control as a control plane for machine-generated change.
Specialization: Cybersecurity and Digital Forensics (9 credits)
| Code | Course | Credits |
| IFT 631 | Security Architecture and Threat Management | 3 |
| IFT 632 | Network Security and Cryptography | 3 |
| IFT 633 | Cyber Forensics: Tools and Techniques | 3 |
Specialization: Data Science and Analytics (9 credits)
| Code | Course | Credits |
| IFT 641 | Data Analytics and Business Intelligence | 3 |
| IFT 642 | Artificial Intelligence and Machine Learning | 3 |
| IFT 643 | Deep Learning: Theory and Applications | 3 |
Required Sequence (9 Credits)
| Code | Course | Credits |
| IFT 691 | Research Methods in Information Systems and Technology | 3 |
| IFT 692 | Technical Project Management | 3 |
| IFT 698 | Capstone | 3 |
IFT 691 produces a track-situated research or project proposal. IFT 692 converts that proposal into an execution plan covering scope, technical risk, and delivery. IFT 698 delivers and defends the result.
Elective (open to qualified students)
|
Code |
Course |
Credits |
|
IFT 600 |
Foundations of Information Systems |
0 |
IFT 615 addresses enterprise resource planning, in-memory data platforms, digital procurement, enterprise content management, human capital management systems, and infrastructure resilience in industrial settings.
Bridge Course
| Code | Course | Credits |
| IFT 615 | Enterprise Systems for Industrial Operations | 3 |
Required for applicants whose first degree is not in computing or a related discipline. Delivered pre-term in the four-week accelerated self-paced format.

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