Master of Data Communication & Networks (DCN) have evolved dramatically over recent decades. Accommodating the data traffic generated by billions of users and trillions of digital devices requires continuous technological evolution. Innovative internet and wireless infrastructure will be needed to cater for these challenging and unprecedented growth and performance characteristics. The students of this program will receive advanced and in-depth knowledge of communication networks, Software Defined Networks (SDN), ubiquitous computing and context aware computing. The students of this program will also be able to control the environment by using multiple smart gadgets as the focus of the program MS-DCN on innovative, quality learning with an emphasis on knowledge that enables students to influence the evolution of new technologies on a mass scale.
Today’s technical challenges concern developing network systems to support a wide range of applications and connected devices, while ensuring that the next generation of Data Communication & Networks is scalable, flexible, secure, and sustainable. These systems will give users global access to a large variety of possibilities, ranging from advanced services based on sensor data produced by large amounts of constrained devices to cloud-based distributed services for computation and storage empowered by high-performance networks and powerful connected data centers. The commercialization of these new ideas will create value for users, vendors, operators and society in general. Consequently, entrepreneurship, product realization and economics are inextricably linked to Data Communication & Networks.
Graduates from the program can be found in academia, as well as in the industry – on the producer side with system manufacturers and operators, and on the consumer side with industry, in the public sector, and among regulators. There is a huge demand for network designers and administrators, especially in emerging markets in developing regions. Finally, as evidenced by Google, Skype, Spotify, and others, there are rich opportunities for entrepreneurs to change the world.
|
Code |
Course Title |
Credit Hours |
Labs |
Total |
1 |
SS-821 |
Research Methodology |
*Non-Credit Hour |
|
|
2 |
COMP-### |
Core Course I |
3 |
|
3 |
3 |
COMP-### |
Core Course II |
3 |
|
3 |
4 |
COMP-### |
Core Course III |
3 |
|
3 |
|
|
* Non-Credit course (compulsory) with 2 Contact Hours |
|
|
|
|
|
Total Credit Hours |
9 |
|
9 |
|
Code |
Course Title |
Credit Hours |
Labs |
Total |
1 |
COMP-### |
Core Course IV |
3 |
|
3 |
2 |
COMP-### |
Elective I |
3 |
|
3 |
3 |
COMP-### |
Elective II |
3 |
|
3 |
|
|
Total Credit Hours |
9 |
|
9 |
|
Code |
Course Title |
Credit Hours |
Labs |
Total |
1 |
COMP-899 |
Research Work |
3 |
|
3 |
2 |
COMP-### |
Elective-III |
3 |
|
3 |
|
|
Total Credit Hours |
6 |
|
6 |
|
Code |
Course Title |
Credit Hours |
Labs |
|
1 |
COMP-### |
Elective-IV |
3 |
|
3 |
2 |
COMP-900 |
MS Thesis |
3 |
|
3 |
|
|
Total Credit Hours |
6 |
|
6 |