MPhil (Mathematical and Computational Physics)
Course Overview
Ghana needs more researchers and scientists to understand and solve many of the nation’s challenges and issues pertaining to driving an advanced technological development and innovative industrialization. The achievements of these are possible, if we shall intensify our knowledge in multidisciplinary programmes such as Mathematical & Computational Physics to compliment laboratory/field work and experimental prototype. This is a key technology which is bound to increase efficiency and effectiveness in all diverse aspects of our socioeconomic and industrial sectors. The Department of Physics has a very strong solid foundation in physics, computing and mathematics. Hence, the Department of Physics is in a good position to drive this single but complex task  improving the knowledge and understanding of students from all aspects of science and engineering with good background in physics, computing and mathematics to solve Ghana’s physical (real life) problems. Finally, the exponential increase in computation in the world today requires Ghana to be prepared and positioned to embrace the fortunes that come our way. There is therefore the need to train wellqualified scientists and technologists to drive industrial and scientific development and technological innovation.
Aims:
Indeed, it is a recognized fact that Ghana (Africa) is the continent most vulnerable to advanced technology, and with the least existing capacity to respond. It is also a known fact that most of the World’s and Africa’s challenges pertaining to advanced technology and innovation are computational physics related. Modelling (Computation Physics) is therefore relevant and important in the achievement of the Sustainable Development Goals (SDGs) and the development process of African countries in general. Much of Africa’s hydrological, geophysical, atmospheric, meteorological and material refinery is technologyfed, and this brings to the fore, the significance of mathematical and computational physics in the realization of the SDG’s in Africa and its overall sustainable development. In fact, the consequences of the lack of modelling on the socioeconomic development of individuals, communities, nations and the whole world are topical subject in every walk of life.
In Ghana, and Africa in general, mathematical and computational physics scientists are needed in vital areas of the economy such as materials production, renewable energy generation and storage sector, telecommunication, the water sector, the oil and gas sector, weather forecasting, mining, disaster mitigation and many others. Due to their impacts on human livelihoods, these areas are crucial in achieving the Sustainable Development Goals. Therefore, it is a fact that Ghana desperately needs degree programmes in mathematical and computational physics for training the needed manpower to address the lack of trained specialists in the above mentioned areas.
Objectives
The objective of the MPhil degree in Mathematical & Computational Physics is to build human capacity by training to produce skilled postgraduates with world standard qualities in broad span of length and time scale:

Deformation, fatigue and fracture of materials

Thermal transfer, electromagnetic field and wave propagation phenomenon

Fluid and solid mechanics of interaction

Application in related environmental (physical) phenomena to develop Ghana (Africa)
Structure of the programme
1 Theory (T) = 1 Credit (C) and 4 Practical (P) = 1 Credit (C)

Year One (1) Semester One (1)
Code
Course Name
T
P
C
PHYC 551
Advanced PDE for Physics
3
0
3
PHYC 553
HPC Programming for Physics
2
4
3
MATH 581
Advanced Analysis & Algebra
2
0
2
PHYS 551
Theory of Fields
2
0
2
9
4
10
PATHWAYS
Specialization (MATERIALA MODELLING)
PHYS 553
Topics in Classical and Quantum Mechanics
2
0
2
Elective (Select One)
PHYS 557
Statistical Physics
2
0
2
PHYM 553
Metallic Materials
2
0
2
PHYC 561
Renewable Energy Resource
3
0
3
Total
13,14
4
14,15
Specialization (HYDROGEOLOGICAL MODELLING / RESERVOIR MODELLING)
PHYG 571
Geophysical Fluid Dynamics
3
0
3
Elective (Select One)
PHYG 573
Applied Hydrogeology
3
0
3
PHYG 575
Reservoir Characterization
3
0
3
Total
13
16
18

Year One (1) Semester Two (2)
Code
Course Name
T
P
C
PHYC 552
MultiPhysics MultiScale lab
2
4
3
PHYC 554
Numerical approximation: (Finite: Difference, Element, Volume)
2
4
3
PHYC 556
Machine Learning for Physics
2
4
3
PHYG 572
Fluid – Solid Interaction
3
0
3
9
12
12
PATHWAYS
Specialization (MATERIALA MODELLING)
Elective (Select Two)
PHYC 562
Classical and Quantum Simulation
2
4
3
PHYC 572
Quantum Computing
2
0
2
PHYS 572
Advanced Condensed Matter Physics
3
0
3
Total
14,15
16
18
Specialization (HYDROGEOLOGICAL MODELLING / RESERVOIR MODELLING)
PHYG 574
Geophysical Inversion
2
4
3
PHYG 576
Ground Water & Reservoir Simulation
2
4
3
Total
13
20
18

Year Two (2) Semester One (1)
Code
Course Name
T
P
C
PHYC 550
Seminar
0
0
0
PHYC 560
Thesis
0
0
0
Total
0
0
0

Year Two (2) Semester Two (2)
Code
Course Name
T
P
C
PHYC 550
Seminar
0
0
0
PHYC 560
Thesis
0
0
0
Total
0
0
0