Postgraduate Diploma in Operations Research and Analytics
| Program start date | Application deadline |
| 2024-02-26 | - |
| 2024-07-15 | - |
| 2025-03-03 | - |
| 2025-07-21 | - |
Program Overview
The Postgraduate Diploma in Operations Research and Analytics is a one-year program designed to equip students with the skills and knowledge needed to become successful practitioners in the growing field of operations research and analytics. Through core topics like machine learning, optimization, statistics, and data analysis, students gain a comprehensive understanding of the field's practical applications and theoretical foundations. The program prepares students for diverse career paths in various industries, including finance, technology, and supply chain management.
Program Outline
Degree Overview
Overview:
This one-year program is designed to equip students from diverse backgrounds with the essential skills and knowledge needed to become successful practitioners in the growing field of operations research and analytics. Through core topics like machine learning, optimization, statistics, and data analysis, students gain a comprehensive understanding of the field's practical applications and theoretical foundations. The program provides a strong foundation for further study in research-oriented programs like the Master of Operations Research and Analytics.
Objectives:
This program aims to:
- Provide students with a solid understanding of the fundamental principles and techniques of operations research and analytics.
- Equip students with the practical skills required to apply these techniques to real-world problems.
- Prepare students for successful careers in diverse industries, including finance, technology, and supply chain management.
Outline
Program Structure:
- The PGDipORAn is a 120-point taught program, requiring completion of specific courses.
- Required courses include:
- At least four from the following:
- Optimization algorithms
- Integer and multi-objective optimization
- Scheduling and optimization in decision making
- Advanced simulation and stochastic optimization
- Studies in Operations Research I
- Advanced Operations Research and Analytics
- At least three from the following:
- Uncertainty in data
- Machine learning and data mining
- Artificial intelligence
- Advanced machine learning
- Computational algorithms for signal processing
- Decision making in engineering
- Fundamentals of supply chain coordination
- Probabilistic machine learning
- Time series
- Bayesian inference
- Advanced regression methodology
- Data science practice
- Students can also take up to one approved 600 or 700-level course offered by the University of Auckland.
Assessment
Assessment Methods:
The program utilizes various assessment methods to evaluate student learning effectively, including:
- Examinations: Written exams test students' understanding of key concepts and theoretical frameworks.
- Assignments: Individual and group assignments challenge students to apply theoretical knowledge to practical problems, fostering problem-solving and analytical skills.
- Presentations: Oral presentations allow students to demonstrate their ability to effectively communicate their research findings and insights.
- Term papers: In-depth research projects require students to delve deeper into specific topics, developing critical thinking and research skills.
Assessment Criteria:
Grading criteria may vary depending on specific courses and assessment methods. Generally, assessments are evaluated based on:
- Accuracy and completeness of content
- Clarity and organization of presentation
- Critical analysis and interpretation of data
- Application of relevant theories and methodologies
- Effective communication of findings and arguments
Teaching
Teaching Methods:
The program emphasizes diverse teaching methods to cater to various learning styles and preferences. These include:
- Lectures: Interactive lectures delivered by experienced faculty introduce key concepts and provide theoretical frameworks.
- Tutorials: Smaller group sessions allow for in-depth discussion of concepts, problem-solving exercises, and personalized feedback.
- Practical sessions: Hands-on activities and lab work provide opportunities to apply theoretical knowledge to real-world scenarios using relevant software tools and technologies.
- Case studies and group projects: Collaborative learning through case studies and group projects encourages students to develop problem-solving, teamwork, and communication skills.
- Independent study: Students are expected to engage in independent research and study to deepen their understanding of the subject matter.
Faculty:
The program features a team of highly qualified and experienced faculty with expertise in operations research, analytics, and related fields. These faculty members actively contribute to cutting-edge research and bring their practical experience to the classroom, enriching the learning environment.
Careers
Career Opportunities:
The program prepares students for diverse career paths in various industries, including:
- Operations research analyst
- Data scientist
- Business analyst
- Management consultant
- Supply chain manager
- Financial analyst
- Statistician
- Software developer
- Researcher
Career Outcomes:
Graduates of the PGDipORAn are highly sought-after by employers due to their strong analytical skills, problem-solving abilities, and expertise in various data analysis and optimization techniques. The program provides a solid foundation for further study at the postgraduate level, leading to advanced research opportunities and specialized careers in the field.
Other
Program Duration:
Full-time: 1 year; Part-time: Varies
Next Start Date:
Semester Two 2024 - 15 July
Points:
120
Programme Type:
Postgraduate
Available Locations:
City
Entry Requirements:
- Completion of a relevant Bachelor Honours degree with a GPA of 3.0 or higher in 120 points above Stage III.
- Completion of a relevant Bachelor degree with a GPA of 3.0 or higher in 75 points above Stage II.
- Completion of an undergraduate degree in a relevant subject from a recognized university with a GPA of 3.0 or higher.
- Scholarships and awards
- Student loans and allowances
- Cost of living
- Key dates for the academic year
Additional Resources:
- Career Development and Employability Services
Support:
- AskAuckland
- Late applications may be considered if places are available.
Entry Requirements:
Domestic Applicants (New Zealand Citizens or Permanent Residents):
The following requirements apply to domestic applicants seeking entry into the Postgraduate Diploma in Operations Research and Analytics (PGOAn) at The University of Auckland:
Academic Requirements:
AND:
A minimum Grade Point Average (GPA) of at least 3.3 in 30 points at stage III or higher
OR (if a non honours or general honours degree)
A minimum GPA at least 4 points above 3.2 in at most Stage II and Stage II 3000-level courses (at least 25 points)
Non-Academic requirements:
• CV (Curriculum vitae) • Personal statement outlining your interest in operations research, career objectives and motivation for enrolling in PGDipORAn, and any relevant skills or research accomplishments
- Applicants with qualifications other than those specified above will be considered, but may be required by their department and the Programme Selection committee to provide additional supporting information
- The degree regulations state, "It is desirable, but not required to have completed a course in linear algebra."
- If you have 75 point bachelor’s in a non cognate discipline (i.e., not in a quantitative subject), then you can be admitted, but will be asked to take a bridging statistics paper before starting your PGDip (see below).
- Applicants must fulfill a Bridging Statistics Paper requirement If a sufficient statistic and probability background is not provided in your academic transcript. • If you are holding the following degrees then this is a requirement
- Non Cognate BCom, BA, BSc 3 year
- Law LLB 3 year You are required to pass STAT705 Mathematical statistics (a 15 credit point, 15 hour first semester paper) before the start or during their first semester of their PGDip studies, with at least 22 out3 of 45.
Language Requirements:
International (non New Zealand citizens or non Permanent Resident) students:
International Students from one the following categories are exempt from providing evidence of English Proficiency: Category A or B Countries For applicants outside of Category C or E listed above the following English Language Requirements apply:
IELTS Academic
- Minimum score 7.5, with no band score lower than 4.5
- OR equivalent English Language Test as determined by The University of Auckland
