Department of Quantitative Methods

Statistical & Mathematical Computing Laboratory

Statistical & Mathematical Computing Laboratory (SMCL), a unit within Department of Quantitative Methods (DQM), School of Business & Economics (SBE), supports classrooms and computing facilities for the University research and teaching community. The SMCL serves as a statistical and mathematical information center for research and quantitative analysis providing in-depth consulting for statistical software, quantitative methods, management & marketing research, social science data resources, geospatial resources and analysis, and technical developments relevant to statistical and mathematical computing.

Available Computing Packages

At the time SMCL is capable of providing technical expertise on following Statistical, and Mathematical computing packages


Smcl  offers consulting at MS Windows Apple MAC and LINUX platform. However all of these softwares are not available for all of these platforms.


SPSS, MiniTAB, NCSS, PASS, MS Excel, Sigma Plot, Table Curve 3D, Table Curve 2D, Peakfit, SYStat, Statistica, Stat Transfer, XLStat, Sudaan, JMP, Visual Stat ,SAS, R, S Plus, AMOS, Lisrel, Stata, EViews, MicroFIT, Gauss, MikTek, Endnote


Mathematica, Matlab, Octave, MathCAD, Maple


Arc View, Geo View, Geo E View


Endnote, procite, JabREF, Reference manager.

Professional writing

LaTeX, MikTek, Scientific Word

Professional training

Courses in SPSS

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