Master of Applied Technologies-Computing

Program Overview

The Master of Applied Technologies-Computing at Unitec is a 1.5-year program that provides advanced skills in data analytics, cybersecurity, or software development. Delivered through a blended learning format, it offers flexibility and allows students to specialize in a specific area or gain interdisciplinary expertise. Graduates are equipped for careers in IT, data science, cybersecurity, and more.

Program Outline

Master of Applied Technologies-Computing at Unitec

Degree Overview:

This one-and-a-half-year Master's program provides students with the opportunity to deepen their knowledge and develop advanced skills in their chosen area of computing. It offers specialization in three key areas: data analytics and intelligence, cybersecurity and networking, and software development.

• Program Duration: 18 months (full-time); part-time options available.
• Start Dates: February or July.
• Credits: 180 (1.5 EFTS).
• Campus: Mt Albert.
• Delivery: Blended learning (online, self-directed research, weekend on-campus classes).

Objectives:

• Equip students with advanced analytical, research, and project management skills.
• Enable students to design, plan, and execute complex technology-based projects in various computing fields.
• Provide students with the knowledge and skills to undertake systematic research and solve applied computing problems.
• Allow students to specialize in a specific area of computing or gain interdisciplinary expertise.

Program Highlights:

• Flexibility: Choose your own learning pace and schedule with the blended learning format.
• Career Advancement: Acquire higher-level knowledge and skills to reach a higher position with a more impressive salary.
• Specialization: Focus on one area of expertise or a combination of them to tailor your program to your career goals.
• Research-oriented: Design and conduct your own research project with guidance from expert faculty.
• Modern Facilities: Utilize state-of-the-art computer labs available seven days a week.
• Experienced Faculty: Learn from qualified and highly experienced IT professionals in their respective fields.

Outline:

The program consists of 90-credit thesis research or a combination of two courses: a 30-credit Applied Project and a 60-credit Applied Research Project. Students choose from a variety of elective courses to build their specialization in the chosen area.

Assessment:

Assessment methods will vary depending on the chosen courses and modules. They may include:

• Assignments
• Projects
• Presentations
• Exams
• Research proposals and reports

Teaching:

The program utilizes a blended learning approach, incorporating online modules, self-directed research, and weekend on-campus classes. This allows for flexibility and caters to the needs of working professionals. The teaching faculty comprises highly qualified and experienced IT professionals with expertise in their respective fields. They provide guidance and support throughout the program.

Careers:

Graduates are equipped with the skills and knowledge to pursue career paths such as:

• IT advisor
• Data analyst
• Security analyst
• Software engineer/programmer
• Machine learning engineer
• Data scientist
• Artificial intelligence engineer
• Business analyst
• Network engineer
• Cybersecurity engineer
• Web developer
• Project manager

Other:

• The program offers scholarships and awards to support students financially.
• The program allows students to undertake research in a variety of areas, including computational intelligence, cloud computing, cybersecurity, computer networks, mobile and wireless communications, business intelligence, computer vision, and more.
• Admission requirements include a bachelor's degree in a relevant field with merit achievement or equivalent qualifications.
• International students must meet additional English language proficiency requirements.