Bachelor of Mathematical and Computer Sciences (BMaCompSc)

Detailed Program Information

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Program Code

BSCMS

Academic Year

2022

Program Faculty

Faculty of Engineering, Computer and Mathematical Sciences

Special Notes

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These Program Rules should be read in conjunction with the University's policies (http://www.adelaide.edu.au/policies).

Overview

This program is designed for students who want to combine the mathematical and computer sciences and pursue some of the diverse applications in other areas. Previous students have enrolled in courses as diverse as accounting, geology, anthropology, biotechnology, history, languages, music studies, philosophy, politics, pharmacology and psychology. Each student has an individual study plan that may be developed in consultation with a course advisor.

The Bachelor of Mathematical and Computer Sciences is an AQF Level 7 qualification with a standard full-time duration of 3 years.

Conditions

Condition of enrolment
Interruption of program: Students must apply for permission from the Executive Dean or delegate before taking a Leave of Absence. Any extension of the leave without approval will result in the loss of place in the program but an application may be made to be re-admitted to the program subject to the admission procedures in place at the time.

Academic Program Rules for Bachelor of Mathematical and Computer Sciences

There shall be a Bachelor of Mathematical and Computer Sciences.

Qualification Requirements

Academic Program:

To qualify for the degree of Bachelor of Mathematical and Computer Sciences, the student must complete satisfactorily a program of study consisting of the following requirements with a combined total of not less than 72 units, comprising:

Level I courses to a maximum value of 30 units.
Level III courses to the value of at least 24 units.
At least 36 units of Mathematical and Computer Sciences courses of which at least 12 units are at Level III. MATHS 3025 Professional Practice III is not considered a Mathematical Sciences course for the purpose of this clause. The course ENG 1002 Programming (Matlab and C) is considered a Computer Science course throughout these rules.
Broadening Electives to the value of 9 units from Subject Areas other than the following: APP MTH, COMP SCI, MATHS, PURE MTH, STATS. The course ENG 1002 Programming (Matlab and C) may not be presented as a Broadening Elective.

A major may be chosen from:

Applied Mathematics
Applied Mathematics and Pure Mathematics
Applied Mathematics and Statistics
Artificial Intelligence
Computer Science
Cyber Security
Data and Decision Sciences
Data Science
Distributed Systems and Networking
Mathematical Sciences
Pure Mathematics
Pure Mathematics and Applied Mathematics
Pure Mathematics and Statistics
Statistics
Statistics and Applied Mathematics
Statistics and Pure Mathematics

MATHS 3021 Capstone Project in Mathematical Sciences III may be presented towards a double major in the discipline of the project.

A minor may be chosen from:

Public Health

Courses Not Permitted

The following courses cannot be presented as electives:

ECON 1008 Data Analytics I
ECON 1010 Introduction to Mathematical Economics (Advanced) I
ECON 2503 Intermediate Mathematical Economics II
ECON 2504 Intermediate Econometrics II

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Bachelor of Mathematical and Computer Sciences

To satisfy the requirements for Bachelor of Mathematical and Computer Sciences students must complete courses to the value of 72 units.

Core

All of the following courses must be completed:

Subject / Catalogue	Course Title	Unit Value
ENG 1002	Programming (Matlab and C)	3
MATHS 3025	Professional Practice III	3

and

Courses to the value of up to 3 units may be taken from the following:

Subject / Catalogue	Course Title	Unit Value
MATHS 1004	Mathematics for Data Science I	3
MATHS 1012	Mathematics IB	3

and

At least one of the following capstone courses must be completed (only one Computer Science capstone course may be presented):

Subject / Catalogue	Course Title	Unit Value
COMP SCI 3006	Software Engineering & Project	3
COMP SCI 3310	Software Engineering & Project (Artificial Intelligence)	3
COMP SCI 3311	Software Engineering & Project (Data Science)	3
COMP SCI 3312	Software Engineering & Project (Cybersecurity)	3
COMP SCI 3313	Software Engineering & Project (Distributed Systems & Networking)	3
MATHS 3021	Capstone Project in Mathematical Sciences III	3

Electives

Courses to the value of 60 units from courses offered by the School of Mathematical Sciences or School of Computer Sciences or any other Undergraduate Courses offered by the University that are available to the student

Applied Mathematics Courses

Subject / Catalogue	Course Title	Unit Value
APP MTH 2105	Optimisation and Operations Research II	3
APP MTH 3001	Applied Probability III	3
APP MTH 3002	Fluid Mechanics III	3
APP MTH 3014	Optimisation III	3
APP MTH 3016	Random Processes III	3
APP MTH 3021	Modelling with Ordinary Differential Equations III	3
APP MTH 3022	Optimal Functions and Nanomechanics III	3
APP MTH 3023	Partial Differential Equations and Waves III	3
APP MTH 3124	Decision Science III	3

Computer Science Courses

Subject / Catalogue	Course Title	Unit Value
COMP SCI 1010	Puzzle Based Learning	3
COMP SCI 1102	Object Oriented Programming	3
COMP SCI 1106	Introduction to Software Engineering	3
COMP SCI 2000	Computer Systems	3
COMP SCI 2005	Systems Programming	3
COMP SCI 2103	Algorithm Design & Data Structures	3
COMP SCI 2201	Algorithm & Data Structure Analysis	3
COMP SCI 2203	Problem Solving & Software Development	3
COMP SCI 2204	Advanced Programming Paradigms	3
COMP SCI 2207	Web & Database Computing	3
COMP SCI 3001	Computer Networks & Applications	3
COMP SCI 3004	Operating Systems	3
COMP SCI 3005	Computer Architecture	3
COMP SCI 3006	Software Engineering & Project	3
COMP SCI 3007	Artificial Intelligence	3
COMP SCI 3009	Advanced Programming Paradigms	3
COMP SCI 3012	Distributed Systems	3
COMP SCI 3013	Event Driven Computing	3
COMP SCI 3014	Computer Graphics	3
COMP SCI 3301	Advanced Algorithms	3
COMP SCI 3302	Information Security Professional Practice	3
COMP SCI 3305	Parallel and Distributed Computing	3
COMP SCI 3306	Mining Big Data	3
COMP SCI 3307	Secure Programming	3
COMP SCI 3308	Cybersecurity Fundamentals	3
COMP SCI 3309	Cybersecurity A Practical Application	3
COMP SCI 3310	Software Engineering & Project (Artificial Intelligence)	3
COMP SCI 3311	Software Engineering & Project (Data Science)	3
COMP SCI 3312	Software Engineering & Project (Cybersecurity)	3
COMP SCI 3313	Software Engineering & Project (Distributed Systems & Networking)	3
COMP SCI 3314	Introduction to Statistical Machine Learning	3
COMP SCI 3315	Computer Vision	3
COMP SCI 3316	Evolutionary Computation	3

Mathematical Sciences Courses

Subject / Catalogue	Course Title	Unit Value
MATHS 1005	Critical Evaluation in Data Science	3
MATHS 1006	Data Taming & Prediction	3
MATHS 1011	Mathematics IA	3
MATHS 1013	Mathematics IM	3
MATHS 2100	Real Analysis II	3
MATHS 2101	Multivariable & Complex Calculus II	3
MATHS 2102	Differential Equations II	3
MATHS 2103	Probability & Statistics II	3
MATHS 2104	Numerical Methods II	3
MATHS 3012	Financial Modelling: Tools & Techniques III	3
MATHS 3021	Capstone Project in Mathematical Sciences III	3
MATHS 3026	Cryptography III	3

Pure Mathematics Courses

Subject / Catalogue	Course Title	Unit Value
PURE MTH 2106	Algebra II	3
PURE MTH 3002	Topology and Analysis III	3
PURE MTH 3007	Groups and Rings III	3
PURE MTH 3009	Integration and Analysis III	3
PURE MTH 3019	Complex Analysis III	3
PURE MTH 3022	Geometry of Surfaces III	3
PURE MTH 3023	Fields and Modules III	3
PURE MTH 3024	Finite Geometry III	3

Statistics Courses

Subject / Catalogue	Course Title	Unit Value
STATS 1000	Statistical Practice I	3
STATS 1004	Statistical Practice I (Life Sciences)	3
STATS 1005	Statistical Analysis and Modelling I	3
STATS 2107	Statistical Modelling and Inference II	3
STATS 3001	Statistical Modelling III	3
STATS 3005	Time Series III	3
STATS 3006	Mathematical Statistics III	3
STATS 3008	Biostatistics III	3
STATS 3022	Data Science III	3
STATS 3023	Computational Bayesian Statistics III	3

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Applied Mathematics Major

To satisfy the requirements for Applied Mathematics Major students must complete courses to the value of 24 units.

Courses to the value of at least 12 units from the following:

Subject / Catalogue	Course Title	Unit Value
APP MTH 3001	Applied Probability III	3
APP MTH 3002	Fluid Mechanics III	3
APP MTH 3014	Optimisation III	3
APP MTH 3016	Random Processes III	3
APP MTH 3021	Modelling with Ordinary Differential Equations III	3
APP MTH 3022	Optimal Functions and Nanomechanics III	3
APP MTH 3023	Partial Differential Equations and Waves III	3
APP MTH 3124	Decision Science III	3
STATS 3023	Computational Bayesian Statistics III	3

and

Mathematical Sciences courses to the value of 12 units.

Applied Mathematics and Pure Mathematics Major

To satisfy the requirements for Applied Mathematics and Pure Mathematics Major students must complete courses to the value of 24 units.

Courses to the value of at least 12 units from the following:

Subject / Catalogue	Course Title	Unit Value
APP MTH 3001	Applied Probability III	3
APP MTH 3002	Fluid Mechanics III	3
APP MTH 3014	Optimisation III	3
APP MTH 3016	Random Processes III	3
APP MTH 3021	Modelling with Ordinary Differential Equations III	3
APP MTH 3022	Optimal Functions and Nanomechanics III	3
APP MTH 3023	Partial Differential Equations and Waves III	3
APP MTH 3124	Decision Science III	3
STATS 3023	Computational Bayesian Statistics III	3

plus

Courses to the value of at least 9 units from the following:

Subject / Catalogue	Course Title	Unit Value
PURE MTH 3002	Topology and Analysis III	3
PURE MTH 3007	Groups and Rings III	3
PURE MTH 3009	Integration and Analysis III	3
PURE MTH 3019	Complex Analysis III	3
PURE MTH 3022	Geometry of Surfaces III	3
PURE MTH 3023	Fields and Modules III	3
PURE MTH 3024	Finite Geometry III	3

and

Mathematical Sciences courses to the value of 3 units.

Applied Mathematics and Statistics Major

To satisfy the requirements for Applied Mathematics and Statistics Major students must complete courses to the value of 24 units.

Courses to the value of at least 12 units from the following:

Subject / Catalogue	Course Title	Unit Value
APP MTH 3001	Applied Probability III	3
APP MTH 3002	Fluid Mechanics III	3
APP MTH 3014	Optimisation III	3
APP MTH 3016	Random Processes III	3
APP MTH 3021	Modelling with Ordinary Differential Equations III	3
APP MTH 3022	Optimal Functions and Nanomechanics III	3
APP MTH 3023	Partial Differential Equations and Waves III	3
APP MTH 3124	Decision Science III	3

plus

All of the following courses must be completed:

Subject / Catalogue	Course Title	Unit Value
STATS 3001	Statistical Modelling III	3
STATS 3006	Mathematical Statistics III	3

and

Courses to the value of at least 3 units from the following:

Subject / Catalogue	Course Title	Unit Value
APP MTH 3001	Applied Probability III	3
APP MTH 3016	Random Processes III	3
APP MTH 3124	Decision Science III	3
STATS 3005	Time Series III	3
STATS 3008	Biostatistics III	3
STATS 3022	Data Science III	3
STATS 3023	Computational Bayesian Statistics III	3

and

Mathematical Sciences courses to the value of 3 units.

Note - the following courses may be presented either towards a major in Statistics or a major in Applied Mathematics but not both:

Subject / Catalogue	Course Title	Unit Value
APP MTH 3001	Applied Probability III	3
APP MTH 3016	Random Processes III	3
APP MTH 3124	Decision Science III	3

Computer Science Major

To satisfy the requirements for Computer Science Major students must complete courses to the value of 24 units.

All of the following courses must be completed:

Subject / Catalogue	Course Title	Unit Value
COMP SCI 2000	Computer Systems	3
COMP SCI 2201	Algorithm & Data Structure Analysis	3

Courses to the value of up to 3 units may be taken from the following:

Subject / Catalogue	Course Title	Unit Value
COMP SCI 3006	Software Engineering & Project	3
COMP SCI 3310	Software Engineering & Project (Artificial Intelligence)	3
COMP SCI 3311	Software Engineering & Project (Data Science)	3
COMP SCI 3312	Software Engineering & Project (Cybersecurity)	3
COMP SCI 3313	Software Engineering & Project (Distributed Systems & Networking)	3

and

Courses to the value of 15 units from the following:

Level III Computer Science electives (9 units)
Level I, II or III Computer Science electives (6 units)

Data and Decision Sciences Major

To satisfy the requirements for Data and Decision Sciences Major students must complete courses to the value of 24 units.

All of the following courses must be completed:

Subject / Catalogue	Course Title	Unit Value
APP MTH 2105	Optimisation and Operations Research II	3
COMP SCI 2201	Algorithm & Data Structure Analysis	3
MATHS 2103	Probability & Statistics II	3
STATS 2107	Statistical Modelling and Inference II	3

and

Courses to the value of up to 12 units may be taken from the following:

Subject / Catalogue	Course Title	Unit Value
APP MTH 3014	Optimisation III	3
APP MTH 3124	Decision Science III	3
COMP SCI 3306	Mining Big Data	3
STATS 3001	Statistical Modelling III	3
STATS 3022	Data Science III	3
STATS 3023	Computational Bayesian Statistics III	3

Mathematical Sciences Major

To satisfy the requirements for Mathematical Sciences Major students must complete courses to the value of 24 units.

All of the following courses must be completed:

Subject / Catalogue	Course Title	Unit Value
MATHS 1012	Mathematics IB	3

and

Level III courses to the value of 12 units from any combination of Applied Mathematics, Pure Mathematics and Statistics courses.
and
Mathematical Sciences courses to the value of 9 units.

Pure Mathematics Major

To satisfy the requirements for Pure Mathematics Major students must complete courses to the value of 24 units.

Courses to the value of at least 12 units from the following:

Subject / Catalogue	Course Title	Unit Value
PURE MTH 3002	Topology and Analysis III	3
PURE MTH 3007	Groups and Rings III	3
PURE MTH 3009	Integration and Analysis III	3
PURE MTH 3019	Complex Analysis III	3
PURE MTH 3022	Geometry of Surfaces III	3
PURE MTH 3023	Fields and Modules III	3
PURE MTH 3024	Finite Geometry III	3

and

Mathematical Sciences courses to the value of 12 units.

Pure Mathematics and Applied Mathematics Major

To satisfy the requirements for Pure Mathematics and Applied Mathematics Major students must complete courses to the value of 24 units.

Courses to the value of at least 12 units from the following:

Subject / Catalogue	Course Title	Unit Value
PURE MTH 3002	Topology and Analysis III	3
PURE MTH 3007	Groups and Rings III	3
PURE MTH 3009	Integration and Analysis III	3
PURE MTH 3019	Complex Analysis III	3
PURE MTH 3022	Geometry of Surfaces III	3
PURE MTH 3023	Fields and Modules III	3
PURE MTH 3024	Finite Geometry III	3

plus

Courses to the value of at least 9 units from the following:

Subject / Catalogue	Course Title	Unit Value
APP MTH 3001	Applied Probability III	3
APP MTH 3002	Fluid Mechanics III	3
APP MTH 3014	Optimisation III	3
APP MTH 3016	Random Processes III	3
APP MTH 3021	Modelling with Ordinary Differential Equations III	3
APP MTH 3022	Optimal Functions and Nanomechanics III	3
APP MTH 3023	Partial Differential Equations and Waves III	3
APP MTH 3124	Decision Science III	3
STATS 3023	Computational Bayesian Statistics III	3

and

Mathematical Sciences courses to the value of 3 units.

Pure Mathematics and Statistics Major

To satisfy the requirements for Pure Mathematics and Statistics Major students must complete courses to the value of 24 units.

Courses to the value of at least 12 units from the following:

Subject / Catalogue	Course Title	Unit Value
PURE MTH 3002	Topology and Analysis III	3
PURE MTH 3007	Groups and Rings III	3
PURE MTH 3009	Integration and Analysis III	3
PURE MTH 3019	Complex Analysis III	3
PURE MTH 3022	Geometry of Surfaces III	3
PURE MTH 3023	Fields and Modules III	3
PURE MTH 3024	Finite Geometry III	3

plus

All of the following courses must be completed:

Subject / Catalogue	Course Title	Unit Value
STATS 3001	Statistical Modelling III	3
STATS 3006	Mathematical Statistics III	3

and

Courses to the value of at least 3 units from the following:

Subject / Catalogue	Course Title	Unit Value
APP MTH 3001	Applied Probability III	3
APP MTH 3016	Random Processes III	3
APP MTH 3124	Decision Science III	3
STATS 3005	Time Series III	3
STATS 3008	Biostatistics III	3
STATS 3022	Data Science III	3
STATS 3023	Computational Bayesian Statistics III	3

and

Mathematical Sciences Courses to the value of 3 units

Statistics Major

To satisfy the requirements for Statistics Major students must complete courses to the value of 24 units.

All of the following courses must be completed:

Subject / Catalogue	Course Title	Unit Value
STATS 3001	Statistical Modelling III	3
STATS 3006	Mathematical Statistics III	3

and

Courses to the value of at least 6 units from the following:

Subject / Catalogue	Course Title	Unit Value
APP MTH 3001	Applied Probability III	3
APP MTH 3016	Random Processes III	3
APP MTH 3124	Decision Science III	3
STATS 3005	Time Series III	3
STATS 3008	Biostatistics III	3
STATS 3022	Data Science III	3
STATS 3023	Computational Bayesian Statistics III	3

and

Mathematical Sciences courses to the value of 12 units.

Statistics and Applied Mathematics Major

To satisfy the requirements for Statistics and Applied Mathematics Major students must complete courses to the value of 24 units.

All of the following courses must be completed:

Subject / Catalogue	Course Title	Unit Value
STATS 3001	Statistical Modelling III	3
STATS 3006	Mathematical Statistics III	3

and

Courses to the value of at least 6 units from the following:

Subject / Catalogue	Course Title	Unit Value
APP MTH 3001	Applied Probability III	3
APP MTH 3016	Random Processes III	3
APP MTH 3124	Decision Science III	3
STATS 3005	Time Series III	3
STATS 3008	Biostatistics III	3
STATS 3022	Data Science III	3
STATS 3023	Computational Bayesian Statistics III	3

plus

Courses to the value of at least 9 units from the following:

Subject / Catalogue	Course Title	Unit Value
APP MTH 3001	Applied Probability III	3
APP MTH 3002	Fluid Mechanics III	3
APP MTH 3014	Optimisation III	3
APP MTH 3016	Random Processes III	3
APP MTH 3021	Modelling with Ordinary Differential Equations III	3
APP MTH 3022	Optimal Functions and Nanomechanics III	3
APP MTH 3023	Partial Differential Equations and Waves III	3
APP MTH 3124	Decision Science III	3

and

Mathematical Sciences courses to the value of 3 units.

Note - the following courses may be presented either towards a major in Statistics or a major in Applied Mathematics but not both:

Subject / Catalogue	Course Title	Unit Value
APP MTH 3001	Applied Probability III	3
APP MTH 3016	Random Processes III	3
APP MTH 3124	Decision Science III	3

Statistics and Pure Mathematics Major

To satisfy the requirements for Statistics and Pure Mathematics Major students must complete courses to the value of 24 units.

All of the following courses must be completed:

Subject / Catalogue	Course Title	Unit Value
STATS 3001	Statistical Modelling III	3
STATS 3006	Mathematical Statistics III	3

and

Courses to the value of at least 6 units from the following:

Subject / Catalogue	Course Title	Unit Value
APP MTH 3001	Applied Probability III	3
APP MTH 3016	Random Processes III	3
APP MTH 3124	Decision Science III	3
STATS 3005	Time Series III	3
STATS 3008	Biostatistics III	3
STATS 3022	Data Science III	3
STATS 3023	Computational Bayesian Statistics III	3

plus

Courses to the value of at least 9 units from the following:

Subject / Catalogue	Course Title	Unit Value
PURE MTH 3002	Topology and Analysis III	3
PURE MTH 3007	Groups and Rings III	3
PURE MTH 3009	Integration and Analysis III	3
PURE MTH 3019	Complex Analysis III	3
PURE MTH 3022	Geometry of Surfaces III	3
PURE MTH 3023	Fields and Modules III	3
PURE MTH 3024	Finite Geometry III	3

Mathematical Sciences courses to the value of 3 units.

Artificial Intelligence Major

To satisfy the requirements for Artificial Intelligence Major students must complete courses to the value of 24 units.

Artificial Intelligence Major

Subject / Catalogue	Course Title	Unit Value
COMP SCI 3007	Artificial Intelligence	3
COMP SCI 3310	Software Engineering & Project (Artificial Intelligence)	3

and

Courses to the value of 6 units from the following:

Subject / Catalogue	Course Title	Unit Value
COMP SCI 3314	Introduction to Statistical Machine Learning	3
COMP SCI 3315	Computer Vision	3
COMP SCI 3316	Evolutionary Computation	3

and

Courses to the value of 12 units from the following:

Level I, II or III Computer Science courses (12 units)

Cybersecurity Major

To satisfy the requirements for Cybersecurity Major students must complete courses to the value of 24 units.

Cybersecurity Major

All of the following courses must be completed:

Subject / Catalogue	Course Title	Unit Value
COMP SCI 3307	Secure Programming	3
COMP SCI 3308	Cybersecurity Fundamentals	3
COMP SCI 3312	Software Engineering & Project (Cybersecurity)	3

and

Courses to the value of 3 units from the following:

Subject / Catalogue	Course Title	Unit Value
COMP SCI 3001	Computer Networks & Applications	3
COMP SCI 3309	Cybersecurity A Practical Application	3
MATHS 3026	Cryptography III	3

and

Courses to the value of 12 units from the following:

Level I, II or III Computer Science courses (6 units)
Level II or III Computer Science courses (6 units)

Data Science Major

To satisfy the requirements for Data Science Major students must complete courses to the value of 24 units.

Data Science Major

Subject / Catalogue	Course Title	Unit Value
COMP SCI 3306	Mining Big Data	3
COMP SCI 3311	Software Engineering & Project (Data Science)	3
COMP SCI 3314	Introduction to Statistical Machine Learning	3

and

Courses to the value of 3 units from the following:

Subject / Catalogue	Course Title	Unit Value
COMP SCI 3305	Parallel and Distributed Computing	3
STATS 3001	Statistical Modelling III	3
STATS 3006	Mathematical Statistics III	3

and

Courses to the value of 12 units from the following:

Level I, II or III Computer Science courses (6 units)
Level II or III Computer Science courses (6 units)

Distributed Systems and Networking Major

To satisfy the requirements for Distributed Systems and Networking Major students must complete courses to the value of 24 units.

Distributed Systems and Networking Major

All of the following courses must be completed:

Subject / Catalogue	Course Title	Unit Value
COMP SCI 3001	Computer Networks & Applications	3
COMP SCI 3012	Distributed Systems	3
COMP SCI 3313	Software Engineering & Project (Distributed Systems & Networking)	3

and

Courses to the value of 3 units from the following:

Subject / Catalogue	Course Title	Unit Value
COMP SCI 3004	Operating Systems	3
COMP SCI 3305	Parallel and Distributed Computing	3

and

Courses to the value of 12 units from the following:

Level I, II or III Computer Science courses (6 units)
Level II or III Computer Science courses (6 units)

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Public Health

To satisfy the requirements for Public Health Minor students must complete courses to the value of 15 units, including at least 6 units at Level III

Subject / Catalogue	Course Title	Unit Value
PUB HLTH 1001	Health and Illness in Populations	3
PUB HLTH 2007	Epidemiology for Health and Medical Sciences	3

and

Courses to the value of up to 3 units may be taken from the following:

Subject / Catalogue	Course Title	Unit Value
PUB HLTH 3009	Experimental Research Design and Analysis	3
PUB HLTH 3010	Practical Epidemiology in Health Sciences	3

and

Courses to the value of up to 6 units may be taken from the following:

Subject / Catalogue	Course Title	Unit Value
PUB HLTH 1003	Communication for Health Sciences	3
PUB HLTH 1004	21st c. Infectious disease epidemiology & control	3
PUB HLTH 1006	Saving lives or respecting rights? An introduction to health ethics	3
PUB HLTH 2008	Rural Australia: Health beyond the burbs	3
PUB HLTH 2009	Introduction to Counselling Theory and Practice	3
PUB HLTH 2200	Social Foundations of Health II	3
PUB HLTH 3006EX	International Public Health Experience 2	3
PUB HLTH 3007	Nutrition: Ideology, Individuals & Industry	3
PUB HLTH 3008	Reawakening Health Systems: People, Planning and Policy	3
PUB HLTH 3011	Big Challenges in Public Health	3
PUB HLTH 3122	International Health III	3
PUB HLTH 3124	Health Promotion III	3

Published on: 30 November, 2021 | 16:53:04