BSc(Tech) - Mathematics as a major
The Bachelor of Science (Technology) degree provides you with an opportunity to gain practical, relevant work experience as part of your undergraduate degree. This will help you to step into the professional world in your chosen career and successfully integrates theoretical learning with hands-on experience.
Mathematics is a subject of vital importance that underpins many activities of our modern world. Employers recognise University of Waikato Mathematics graduates for their analytical and problem solving skills as well as their high level of numeracy, which are critical skills for a broad range of jobs.
Key information
Years: | 3 |
Points: | 360 |
Study Locations: | Hamilton |
Start Dates: | Semester A (February) and Semester B (July) |
Fees (Domestic): |
$6,922 per year See if you're eligible for fees-free study in your first year |
Fees (International): | $29,680 per year |
Entry Requirements: | Undergraduate International |
Faculty/s: | |
*Tuition fees shown are indicative only and may change. There are additional fees and charges related to enrolment please see the Table of Fees and Charges for more information. You will be sent an enrolment agreement which will confirm your fees. |
Career opportunities
- Data Analyst
- Financial Analyst
- IT or Computing Analyst
- Mathematical Modeller
- Meteorologist
- Research Scientist
- Secondary School Teacher
Papers
Papers available within this subject
Mathematics is a language of fundamental importance which underpins many activities of society. It plays a crucial role, both theoretically and practically, in many areas such as science, computing, economics and finance.
Mathematics is available as a major for the Bachelor of Computing and Mathematical Sciences with Honours and the Bachelor of Science. Mathematics may also be included as a second major or minor in other undergraduate degrees, subject to the approval of the Faculty in which the student is enrolled.
To complete Mathematics as a single major for the BCMS(Hons) or the BSc, students must gain 135 points from papers listed for Mathematics, including 105 points above 100 level, and 60 points above 200 level. Students must complete MATHS101, MATHS102, MATHS201, MATHS202, and at least one of MATHS301 and MATHS302. Students may include up to 30 points of STATS-coded papers as part of their Mathematics major. Students in the BCMS(Hons) will also need to take at least 60 points in the subject of Mathematics at 500 level, including MATHS520.
To complete Mathematics as part of a double major for the BCMS(Hons), BSc or other undergraduate degree, students must gain 120 points from papers listed for Mathematics, including 90 points above 100 level, and 45 points above 200 level. Students must complete MATHS101, MATHS102, MATHS201, MATHS202, and at least one of MATHS301 and MATHS302. Students may include up to 30 points of STATS-coded papers as part of their Mathematics major. Students in the BCMS(Hons) will also need to take at least 60 points in the subject of their first major at 500 level including MATHS520 if Mathematics is the first major.
To complete a minor in Mathematics, students must complete 60 points from the papers listed for the Mathematics major, including at least 30 points above 100 level.
100 level
Code | Paper Title | Occurrence / Location |
---|---|---|
ENGEN183 | Linear Algebra and Statistics for Engineers | 18A (Hamilton) & 18B (Hamilton) |
A study of introductory statistics and the fundamental techniques of algebra including Gaussian elimination, vector and matrix algebra, complex numbers, eigenvalues and eigenvectors, as well as basic statistical notions and tools, with engineering applications. | ||
ENGEN184 | Calculus for Engineers | 18A (Hamilton), 18B (Hamilton) & 18S (Hamilton) |
A study of the fundamental techniques of calculus, including differentiation and integration for functions of one real variable, with engineering applications. | ||
MATHS101 | Introduction to Calculus | 18A (Hamilton) & 18B (Hamilton) |
A study of the fundamental techniques of calculus, including differentiation and integration for functions of one real variable, with applications to rate problems, graph sketching, areas and volumes. | ||
MATHS102 | Introduction to Algebra | 18A (Hamilton) & 18B (Hamilton) |
A study of the fundamental techniques and applications of algebra including Gaussian elimination, vector and matrix algebra, complex numbers, induction and recursion. | ||
MATHS135 | Discrete Structures | 18B (Hamilton) |
An introduction to a number of the structures of discrete mathematics with wide applicability in areas such as: computer logic, analysis of algorithms, telecommunications, networks and public key cryptography. In addition it introduces a number of fundamental concepts which are useful in Statistics, Computer Science and further stu... | ||
MATHS165 | General Mathematics | 18A (Hamilton) & 18B (Hamilton) |
An introduction to algebra, calculus and applications for students without NCEA Level 3 Mathematics. Students who meet the prerequisites of MATH101 and/or MATH102 should take these papers instead. | ||
MATHS166 | Management Mathematics | 18A (Hamilton), 18A (Tauranga), 18B (Hamilton) & 18B (Tauranga) |
An introduction to algebra and calculus for students in Management or Social Sciences. Students who meet the prerequisites of MATH101 and/or MATH102 may wish to take these paper(s) instead. | ||
MATHS168 | Preparatory Mathematics | 18A (Hamilton) & 18B (Hamilton) |
Basic algebraic concepts and an introduction to Calculus and Statistics. This paper provides a last chance for students to correct a weak background in mathematics. Students who meet the prerequisites of MATH165 or MATH166 should take one of those papers instead. | ||
STATS111 | Statistics for Science | 18A (Hamilton), 18A (Tauranga), 18B (Hamilton), 18B (Online) & 18B (Tauranga) |
This paper provides a first course in statistics for students in the Faculty of Science and Engineering. Microsoft Excel is used throughout. Topics include the collection and presentation of data, basic principles of experimental design, hypothesis testing, regression and the analysis of categorical data. | ||
STATS121 | Introduction to Statistical Methods | 18A (Hamilton) |
An introduction to statistical data collection and analysis. Topics include general principles for statistical problem solving; some practical examples of statistical inference; and the study of relationships between variables using regression analysis. |
200 level
Code | Paper Title | Occurrence / Location |
---|---|---|
CSMAX270 | Cultural Perspectives for Computing and Mathematical Sciences | 18B (Hamilton) |
The paper provides students with an understanding of scientific and culture-specific perspectives on computing and mathematical science issues and the ability to apply these in diverse contexts. | ||
ENGEN201 | Engineering Mathematics 2 | 18B (Hamilton) |
Calculus of Several Variables and its Applications. Vector calculus (Green's, Gauss' and Stokes' theorems). Taylor's Theorem in n dimensions. Introduction to partial differential equations. Fourier series. | ||
MATHS201 | Continuing Calculus | 18B (Hamilton) |
Calculus of Several Variables and its Applications. Vector calculus (Green's, Gauss' and Stokes' theorems). Taylor's Theorem in n dimensions. The gamma and beta functions. | ||
MATHS202 | Linear Algebra | 18A (Hamilton) |
A formal approach to linear algebra, with applications. Topics include: axioms of a vector space, linear independence, spanning sets and bases. Linear transformations, the Gram-Schmidt process. | ||
MATHS203 | Differential Equations and Modelling | 18B (Hamilton) |
Systems of ordinary differential equations and their applications, including phase plane methods. Introduction to partial differential equations. Fourier series. | ||
STATS221 | Statistical Data Analysis | 18A (Hamilton) |
This paper introduces students to the R programming language which is used to investigate a collection of real data sets. Analysis of variance, multiple regression, non parametric methods and time series are covered. | ||
STATS226 | Bayesian Statistics | 18B (Hamilton) |
This paper introduces statistical methods from a Bayesian perspective, which gives a coherent approach to the problem of revising beliefs given relevant data. It is particularly relevant for data analytics, statistics, mathematics and computer science. |
300 level
Code | Paper Title | Occurrence / Location |
---|---|---|
COMP340 | Reasoning about Programs | This paper will not be taught in 2018. |
This paper will not be taught in 2018. | ||
COMPX361 | Logic and Computation | 18B (Hamilton) |
The syllabus includes: further development of predicate logic with application to program verification; mathematical induction including structural induction; finite state automata and regular languages; Kleene's Theorem; Turing machines, the Church-Turing thesis, universal Turing machines and the Halting problem; formal grammars a... | ||
MATH310 | Modern Algebra | 18B (Hamilton) |
An introduction to groups, rings and fields, which have applications to symmetry, physics, coding and cryptography, as well as many areas of mathematics such as number theory and geometry. | ||
MATH311 | Advanced Calculus | 18A (Hamilton) |
A study of advanced real calculus of one and many variables, real and complex analysis, complex calculus and its applications. | ||
MATH319 | Topics in Pure Mathematics | This paper will not be taught in 2018. |
This paper will not be taught in 2018. | ||
MATH320 | Discrete Mathematics and Number Theory | 18A (Hamilton) |
Further work in discrete mathematics and number theory. | ||
MATH329 | Topics in Applied Mathematics | 18A (Hamilton) |
An introduction to advanced topics in applied mathematics, including: potential theory and its applications, tensor analysis, and the calculus of variations. | ||
MATH331 | Methods of Applied Mathematics | 18B (Hamilton) |
A study of the theory and applications of differential equations, solution methods including separation of variables, eigen-function expansions, integral transforms and complex variable methods. | ||
MATH333 | Classical Field Theory | This paper will not be taught in 2018. |
This paper will not be taught in 2018. | ||
MATH334 | Classical and Quantum Mechanics | 18Y (Hamilton) |
The theory of classical mechanics from a variational point of view. Topics include fundamentals of quantum mechanics and the quantisation of elementary systems. | ||
MATH342 | Numerical Mathematics | This paper will not be taught in 2018. |
This paper will not be taught in 2018. | ||
MATH380 | Topic in Mathematics | 18A (Hamilton) & 18B (Hamilton) |
A topic in mathematics taught as either a reading or short lecture course. |
Scholarships and Prizes
CMS International Exchange Scholarship
For students who have completed at least one year of study in the Faculty of Computing & Mathematical Sciences (FCMS), applied for a University of Waikato exchange programme, and who are currently enrolled full-time in FCMS.
Closing Date: 2018-03-31 23:59:00FCMS Summer Project Scholarships
This is by nomination only. Nominees must be high achieving undergraduate students currently enrolled part- or full-time in the Faculty of Computing & Mathematical Sciences. It supports a ten-week period of full-time project work during the summer break. The Scholarships will have a value of $5,000. Interested students should contact FCMS for further information.
Closing Date: 2015-10-16 23:59:00The A Zulauf Trust Scholarship
For students who are enrolled or intending to enrol full-time in the research portion (i.e. a 90- or 120-point thesis) of their Masters degree in Mathematics in the year of application. It is expected that the bulk of the research will take place in the year of application. The Scholarship has a value of up to $5,000.
Closing Date: 2016-09-30 23:59:00Contacts
Faculty of Computing & Mathematical Sciences
Phone: 0800 924 528 ext: 4322 or +64 7 838 4322
Email: cms@waikato.ac.nz
Website: cms.waikato.ac.nz
Facebook: facebook.com/WaikatoFCMS