Academic Research Assistance

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If you want to have a fascinating thesis, the first thing to do is to start off early, with a fresh and trending topic. It is the glue that will hold your paper together. The more interesting and fascinating it is, the better the opportunity to graduate on time.

Agreeably, dissertations are difficult to write, and it is a common concern with busy international students who are working and studying at the same time to earn their masters and doctorate degrees. Thankfully this is where we come in to help by having our team of academic experts assist with your project work.

We only assist students who are submitting their masters and PhD thesis to foreign universities

With the strenuous standards set by foreign universities, academic research can turn out to be a charging bull. We understand that you deserve no less than the best, the reason why we have in our employ only those lecturers with Ph.D and MPhil degrees.



We encourage students worldwide to use our service and be guided with their masters and PhD research work. What better way to be emboldened to defend your thesis before a crack faculty of professors in the foreign university you are submitting your work to?

We have been assisting with dissertations for more than a decade, and it gives us joy in helping international students to graduate in the regular time allotted for their class. We take pride in resolving the damning critique of the committee chairs of prospective clients and bringing closure to those who have missed their deadlines.

Kindly put in your request at the Contact Us page, noting that we are highly conversant with:

All statistical software including Matlab, SAS, SPSS, Stata, etc

Data Mining with Weka and RapidMiner

Various forms of Regression Analysis

Survival Analysis including Kaplan-Meier Analysis

Time Series Analysis

Panel Analysis

Survey Development and Reliability

Statistical Power Analysis

Multivariate Analysis such as MANOVA and MANCOVA.

Qualitative analytical methods

NVivo, Nud*ist, Atlas and HyperResearch

Optimization methods

Markov Chain Monte Carlo

Nonparametric Methods

Zero-Inflated Count Models

TURF, Thurstone Scaling, and Shapley Values

Conjoint Analysis, Choice Modeling, and MaxDiff

Meta-Analysis

Structural Equation Modeling (SEM)

Neural Nets

Machine Learning and Artificial Intelligence (AI)

Parallel Computing

Various Bootstrapping and Jackknife techniques

Spatial Analysis