Nikola Tesla Graduate School

Inspiring Tomorrow’s Technology Leaders

The B.Eng, Master of Engineering (M.Eng), and PhD in Engineering program at Nikola Tesla Graduate School strives for academic excellence in research to produce graduates with leadership qualities, a sense of social responsibility, community involvement and professionalism. The programme helps to establish higher levels of critical thinking and problem solving skills in students. Graduates from the programme will be equipped with extensive cognitive abilities and have the capability to be employed in occasions which require advanced intellectual competencies.

Fully Online Education

Our graduate school is 100% fully online. Using Internet learning software tools you can study with us from anywhere in the world, all you need is your computer / smart phone and Internet connection!

The Future Belongs To Those Who Dream and Invent Today

The Nikola Tesla Graduate School (NTGS) is a new, unique type of online school. Initially the NTGS is specializing in the teaching of electrical engineering, which was the main field of study of the 19th century genius Nikola Tesla - a Serbian-American inventor, electrical engineer, mechanical engineer, and futurist who is best known for his contributions to the design of the modern alternating current electricity supply system.

Students at the NTGS will work towards a Masters or PhD Degree. Both are fully online courses which can be taken anywhere in the world. The course will be a practical or dissertation-based project, supervised by a mentor who will be one of NTGS's faculty members, and inspired by Tesla's own research. Students will be expected to decide for themselves, after consultation with their mentor, whether their project will be a practical task or a dissertation. The scope of a student's project will be agreed with their mentor, who will guide them through from its conception to its completion.

We will also offer “micro-courses” which will be of 3 or 6 week duration (3 to 6 lectures) on a particular topic.

Upon the completion of the student's registration period their project work will be assessed by their NTGS mentor. Subject to their level of achievement in their online course, and to delivering a project which meets with their mentor's approval, a student will be awarded an official Masters or PhD Degree Certificate.

Why choose Nikola Tesla School?

Learn at your own pace from our top scientists and other experts. Our courses will be just right for you!

Why Nikola Tesla?

Nikola Tesla was one of the greatest geniuses and the greatest electrical engineer of all time. He was a Serbian-American engineer and physicist who lived from 1856 to 1943, who made dozens of breakthroughs in the production, transmission and application of electric power. Tesla was an earlier inventor of radio than Guglielmo Marconi, and he invented the first alternating current (AC) motor and developed AC generation and transmission technology. His ideas were far ahead of their time, for example in 1908 he described the exact concept of the Internet.

About Nikola Tesla

Our graduate school is named after one of the greatest geniuses of all time, Nikola Tesla.

Nikola Tesla (July 9, 1856 – January 7, 1943) was a Serbian-American electrical engineer, inventor and physicist who contributed to many of the developments in the field of electricity.

Tesla was raised as a Serbian Orthodox. His family was likely quite devout as his father was a priest in the church. Tesla wrote: “The gift of mental power comes from God, Divine Being, and if we concentrate our minds on that truth, we become in tune with this great power. My Mother had taught me to seek all truth in the Bible; therefore I devoted the next few months to the study of this work.”

Tesla’s political context was influenced by worldwide violence and destruction. He lived to see his home country broken into pieces after World War I, and he died as World War II was in full swing. Tesla took a meta-political approach and hoped for changes in human consciousness. He wrote: “What we now want is closer contact and better understanding between individuals and communities all over the earth, and the elimination of egoism and pride which is always prone to plunge the world into primeval barbarism and strife… Peace can only come as a natural consequence of universal enlightenment.”

Tesla’s politics are timeless, idealistic and forward-looking. we have reason to hope his idealistic civilization could actually happen. Our approach to education will follow the spirit of his approach.


Requirements for Entry

For B.Eng

Equivalent to at least B, B+, A, or A+ average for your National High School Certificate.

For M.Eng and PhD

Bachelor’s Degree (Tier 1)

Bachelor's degree in Engineering, Engineering Technology, Science or Technology with CGPA ≥ 2.75 OR

Bachelor’s Degree (Tier 2)

Bachelor’s degree in Engineering, Engineering Technology, Science or Technology with 2.50 < CGPA < 2.75 will be subject to rigorous internal assessment OR

Bachelor’s Degree (Tier 3)

Bachelor’s degree in Engineering, Engineering Technology, Science or Technology with 2.00 ≤ CGPA < 2.50, recognised by the National Government, and a minimum of 5 years related work experience OR

Other academic qualifications

Any other equivalent qualification recognised by the Government or accepted by the Nikola Tesla Graduate School Senate.

*Any of the above conditions would require student's research proposal to be approved.

*All information is subject to change. The above entry requirements serve as a guideline. Readers are responsible to verify the information by contacting the university's Admissions Department.


English Language Requirements

International English Language Test (IELTS)

Band 6.5

Test of English as a Foreign Language (TOEFL)

88 (Internet Based Test)

Bachelor’s / Master’s Degree

Completed Bachelor’s or Master’s degree that was conducted entirely in English

*All information is subject to change. The above entry requirements serve as a guideline. Readers are responsible to verify the information by contacting the university’s Admissions Department.


Duration

B.Eng

Full time:

2 years

Part time:

2 - 4 years

Full time:

1 years for Masters. Minimum of 2 years for PhD

Part time:

2 -3 years


Methodology of Study for B.Eng Program

Our school follows the same courses and subjects for B.Eng in the State of California, USA.

Methodology of Study in our Masters and PhD Degree Program

Our Professor will guide you every step of the way so you can successfully complete your Masters or PhD degree. At the beginning we will help you in detail to set your research topic, and most importantly to define the key novelty of your research. At the middle we will be on hand at every step to help you conduct your research and write your results. To graduate each student must publish at least 1 IEEE Paper (conference or journal) for Masters Degree and 3 IEEE Papers for the PhD Degree (or equivalent journal/conference paper if approved by the school).

Here are some of the key steps you will go through as you complete your Masters and PhD Degree:

Step 1: Explain your research key novelty

What research problem or question did you investigate, what is the key novelty of the research problem, and what kind of data did you need to answer it?

Quantitative methods (e.g. surveys) are best for measuring, ranking, categorising, identifying patterns and making generalisations

Qualitative methods (e.g. interviews) are best for describing, interpreting, contextualising, and gaining in-depth insight into specific concepts or phenomena

Mixed methods allow for a combination of numerical measurement and in-depth exploration

Was your aim to address a practical or a theoretical problem?

Why is this the most suitable approach to answering your research questions?

Is this a standard methodology in your field or does it require justification?

What are the criteria for validity and rigorousness in this type of research?

Step 2: Describe your methods of data collection and/or selection

Once you have introduced your overall methodological approach, you should give full details of the methods you used to conduct the research. Outline the tools, procedures and materials you used to gather data, and the criteria you used to select participants or sources.

Quantitative methods

Surveys

Describe where, when and how the survey was conducted.

How did you design the questions and what form did they take (e.g. multiple choice, rating scale)?

How did you find and select participants?

Did you conduct surveys by phone, mail, online or in person, and how long did participants have to respond?

What was the sample size and response rate?

You might want to include the full questionnaire as an appendix so that your reader can see exactly what data was collected.

Experiments

Give full details of the tools, techniques and procedures you used to conduct the experiment.

How did you design the experiment (e.g. between-subjects or within-subjects)?

How did you find and select participants?

What tools or technologies did you use in the experiment?

In experimental research, it is especially important to give enough detail for another researcher to reproduce your results.

Step 3: Describe your methods of analysis

Next, you should indicate how you processed and analysed the data. Avoid going into too much detail—you should not start presenting or discussing any of your results at this stage.

Quantitative methods

In quantitative research, your analysis will be based on numbers. In the methods section you might include:

How you prepared the data before analysing it (e.g. checking for missing data, removing outliers, transforming variables)

Which software you used to analyse the data (e.g. SPSS or Stata)

Which statistical methods you used (e.g. regression analysis)

Quantitative methods example

Before analysis the gathered data was prepared. The dataset was checked for missing data and outliers. For this the “outlier labeling rule” was used. All values outside the calculated range were considered outliers (Hoaglin & Iglewicz, 1987). The data was then analysed using statistical software SPSS.

Step 4: Evaluate and justify your methodological choices

Your methodology should make the case for why you chose these particular methods, especially if you did not take the most standard approach to your topic. Discuss why other methods were not suitable for your objectives, and show how this approach contributes new knowledge or understanding.

You can acknowledge limitations or weaknesses in the approach you chose, but justify why these were outweighed by the strengths.

Lab-based experiments can’t always accurately simulate real-life situations and behaviours, but they are effective for testing causal relationships between variables.

Unstructured interviews usually produce results that cannot be generalised beyond the sample group, but they provide a more in-depth understanding of participants’ perceptions, motivations and emotions.

Remember that your aim is not just to describe your methods, but to show how and why you applied them and to demonstrate that your research was rigorously conducted.

Key Research Areas

At Nikola Tesla Graduate School, we believe research can help shape the future. Our postgraduate research programmes cover a broad range of topics with the aim to help shape the future in the aspects of society, technology, economy, and environment.

Our efforts are enhanced by involving faculty members from several departments to work along with our Masters and PhD students. We also believe in broadening our contributions by collaborating with international and industry partners.

Data Science

Information, systems, and communications security have become a central issue in our society. Interaction between people's personal devices (far beyond just phones and computers) and the rest of the connected world is nearly continuous; and with the advent of the Internet Of Things its scope will only grow.

The cyber security research group at Taylors University operates within that context of finding new and innovative approaches to dealing with cyber breaches. All members bring a particular technological emphasis - the analysis of particular classes of security problems or their solutions - but are fully aware that it all fits within a wider context of people using systems and communicating data in secure and insecure ways, and how external pressures beyond the mere technology impact on that.

The topic of computer security then naturally widens to include topics like privacy, cybercrime, and ethics and law relating to computing, as well as bringing in aspects of psychology, sociology and economics. The group focus has been in the following areas-Network Security, Intrusion Detection and Wireless Security, Penetration Testing and Vulnerability Assessment, Modeling and Simulation, Cyber Prediction System, Formal Systems, Threat Assessment and Risk Management.

Cybersecurity

The Big Data Research Group focuses development and application on Big Data technology, drawing on the best scientific traditions in Computer Science, Medicine, Bio-sciences, Engineering and Business. The Taylor’s Big Data Group supports collaboration and knowledge transfer in this growing field. Hence, our team members work collaboratively with the research community and industry. Our research involves modeling, analyzing, and simulating dynamic systems characterized by complex logic and uncertain behaviours.

This Big data group is interested in various areas namely big data analytics, IOT, cloud computing, data mining, simulation-optimization methods, spatial-temporal data analysis, business intelligence, Informatics, Visualization and graphics, software metrics and business process re-engineering.

Cloud Computing

The Cloud Computing and IoT (CCIT) research group will examine new trends and concepts for the management of cloud systems to provide intelligent solutions for high throughput and computational problems utilizing large-scale data in the cloud environment. The research group will investigate open research issues in turning a true “Internet of Things” into reality, an Internet where low-resource nodes (“things”, “constrained nodes”) can communicate among themselves and with the wider Internet in order to partake in innovation..

Cities of the Future

The research programmes conducted by the Group endeavour to supply information and propose solutions that can be used by policy makers, city planners and urban designers, in planning, designing and maintaining cities facing a plethora of environmental, economic, health and social problems both currently and in the future.

Key Areas of Expertise

City Planning and Urban Design

Masterplanning

Sustainable Urbanism and Ecological Connectivity

The New Urban Agenda

Affordable Housing

Heritage Conservation and Adaptive Reuse

Sustainable Engineering

The UN sustainable development goals addressing the pressing challenges including poverty, inequality, climate, erratic climatic variations, degradation of natural resources, prosperity of people with prevailing justice to live in peace is targeted to be achieved by 2030. A number of interconnected devices, communication network, sensing and instrumenting the critical data, handling of data is going to be part of any engineering solutions within the challenge. Knowing the role of sustainable player within the academic and research enterprise align the high impact research thrust in addressing those within the engineering education through vertically blended approach where the technology and data as a catalyst for long term sustainable solution.

The research group is working on the verticals that imbibe long term technological solutions towards clean energy, responsible consumption and productions, sustainable cities and communities.

To cater holistic sustainability research solutions through innovations

To develop niche research thrust that support sustainability in the long run

Unit Developmental Areas

Islanded clean energy alternatives

Bio inspired novel techniques for engineering solutions

Energy balance in Future Grids, its components and framework

Drones and Unmanned Aerial Vehicles

The Unmanned Aerial Vehicle (TUAV) Research Group is an interdisciplinary academic and research group. The group focuses on fundamental research in UAV control systems, automations, machine vision and machine learning.

As one of the focus areas under the Industry 4.0, the research group is working on both fundamental and research of UAV and its practical applications. Partnering with various major industries, the group works on projects that are strongly applied to the industry's needs. There are several on-going projects at the moment. One of the projects provides a fully autonomous UAV System for surveillance purpose, where video captured by the airborne UAV will be downloaded live to a ground staion, while the UAV navigates through a pre-defined flight path on its own. Another project sees the development of light weight vision simultaneous localization and mapping (SLAM) algorithm to be used on-board of the UAV, such that the UAV is able to penetrate through foliage environment. In most of the project, the group seek a balance in developing cost and the performance of the UAV in the research.

To develop autonomous aerial vehicles for various applications both underwater and sky based systems

To provide support solutions to the industry players through consultancy

UAV flight control systems

Light weight SLAM Algorithm

Machine learning for target identification

UAV flight path optimization

Blade design and Optimization

Image processing applications

Data Analytics through IoT

Sustainable Energy and Green Technology

Technological advancement in the engineering field of energy efficiency and green (clean) energy are the key towards environmental protection, considering their crucial impact globally and the depletion as well as environmental issues caused by the traditional fossil fuels. Thereby, alternative and more sustainable methods to harvest and enhance energy production whilst at the same time treat environmental wastes are direly sought after around the globe.

The focus of this research group is on the development of sustainable energy aiming for a greener environment that includes efficient technologies for CO2 capture, making solar energy economical and sustainable, utilization of biomass for energy generation and waste minimization, improving lubrication technologies by producing novel blend lubricants that are biodegradable and cost effective, utilization of greener solvents for waste rubber devulcanisation process and etc.

Key Research Areas:

Nanofluids and Nanopaticles

Heat Transfer

Solar Energy

Deep Eutectic Solvents

Rubber Devulcanization

Transformer Oil

Environment

Sustainable Design and Technology

A global perspective provides a new sustainability-oriented business strategic for real estate development which emphasis on integrating sustainability principles into practical decision making and marketing. This group of research team aims to provide research and consultancy to real estate corporates by meeting the needs of the present industrial trend, without compromising the ability of future generations. The fundamental concept on suitability encompasses three dimensions, namely social, economic and environmental, which are accepted by all stakeholders as guiding principles for both public policy making and corporate strategies. Under the scope of architecture and building, the focus of this group centered on the interactions between nature and technology in providing ‘Sustainable Design and Technology’ research particularly Systems, Building Construction, Construction Law and Procurement, Facility and Project Management, Ecology and Green Architecture, Building Information Modelling (BIM), User-orientated Architecture, Access for the Disabled (OKU), and Business Management and Corporate Strategy.

Key Research Areas

Systems, Building Construction,

Construction Law and Procurement,

Facility and Project Management,

Ecology and Green Architecture,

Building Information Modelling (BIM),

User-orientated Architecture,

Access for the Disabled (OKU),

Business Management,

Corporate Strategy

Design for the Future

Design as Future-Making offers emergent models of design that are much needed today. This is especially critical now that virtually every object, place, and phenomenon is understood to exist in an ecology of forces and counterforces. This area explores how we’re building possible futures through our everyday activities of talking, researching, curating, designing, and teaching – how can we intervene in this process through media inventions to build more flexible, accessible and sensible futures?

The research group working on exploring creative and transgressive approaches to thinking about scientific and humanistic inquiry practices. It focuses and promotes the transformative design values where design/designer researchers become transformers who generate novel solutions through digital media that contribute to a more flexible world. The outcome of this area encompasses academic research and creative outputs.

Key Research Areas

AR/ VR/ MR Design Applications

Transmedia Design (UI & UX)

Connected Environment and Objects

Power Electronics

In this programme, you will study efficient and intelligent energy conversion by means of power electronics technology and electrical machines. You will study these topics analytically, numerically and experimentally in an innovative research environment.

This specialisation combines contemporary technologies with classic technologies such as power semiconductor devices, electronics, electromagnetics, digital signal processors, control theory, EMC and energy technology. This gives you an understanding of the technologies and scientific disciplines involved in electric energy conversion by means of power electronic converters and electric machines.

Studying this specialisation, you learn how to model, analyse, synthesize and develop PED systems, and you will also learn how power electronics and drives interact with externally connected components or systems.

You will work with topics such as:

The operation, function and interaction between various components and sub-systems used in power electronic converters, electric machines and adjustable-speed drives

Design, modelling, simulation and synthesis of power converter-based systems used for conversion of electric energy

Design of controllers for PED systems using classical and modern control theory

Practical implementation of controllers using e.g. digital signal processors

Developing, construction, operation and testing power electronic converters and drives in the laboratory.

Electric Power Systems

The 3rd energy industry revolution is taking place where the key is the development of electrical power systems in the contexts of smart grids. Electrical power systems are playing a pivotal role in the development of a sustainable energy supply, enabling renewable energy generation.

This Electrical Power Systems programme meets the industrial demand for the training and education of both existing and future engineers in the advanced concepts of electrical power systems and renewable energy. It aims to produce graduates of the highest calibre with the right skills and knowledge who will be capable of leading in teams involved in the operation, control, design, and economic analysis of the electrical power systems and networks of the future – smart grids.

Some modules will be taught by leading industry experts, offering exciting opportunities to understand the real challenges that the power industry is facing and will work with you to develop and provide innovative solutions. In addition, students working on relevant projects may have the opportunity to work with leading industry experts directly.


Who should study in this program?

Candidates who are keen to expand the boundaries of knowledge and embark on engineering discoveries through a research-based programme.


Where do our graduates work at?

Some of our graduates start their own companies, some work at Universities as researchers and some work at companies both small and large. Some of the companies that our recent graduates are working are shown below:

Government's and Government Agencies our Graduate School are working with

Honorary Supreme Leader

NIKOLA TESLA (RIP)

President of School

Dr. David Levy

Our faculty are drawn largely from the world of academia, but also from the business and political worlds. Each of our graduate students will have one faculty member assigned to them as their mentor, and will be able to enjoy personal one-to-one online interaction with their mentor. A selection of some of our Faculty members from around the world are shown below. Details of our Faculty can be found here.

Professor Shlomo Dubnov

Professor William Elkins

Professor Nesimi Ertugrul

Eliahu Gal-Or

Yair Goldfinger

Professor Ryohei Nakatsu

His Royal Highness Prince Akinwale Ojomo

Professor Michael Warren

Professor Yorick Wilks

Dr. Bosede Edwards

Dr. Somaiyeh Vedadi

Charles Thomas

Courses

The Nikola Tesla Graduate School offers these courses:

  1. B.Eng

  2. Master's Degree - Practical branch

  3. Masters Degree - Dissertation branch

  4. PhD

  5. Mini Courses

Initially we will offer these mini-courses:

  1. Short Course (3 week or 6 week) in Nikola Tesla and his Electrical Engineering Inventions

  2. Short Course (3 week or 6 week) in Electrical Energy Technologies

The Nikola Tesla Graduate School is a new type of SCHOOL.

Fees

Masters Degree

PhD Degree

FREE! We are one of the ONLY free Graduate Schools in the world!

Universities That We Collaborate With

We collaborate with many international universities in such areas as visiting lecturers, academic exchange, joint projects etc.

Contact Us!

Centre for Research Management

Director

Eric McIntyre

contact@nikolateslagraduateschool.org


Please call us anytime on +1 302 261 3816

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