Postgraduate Certificate in Applied Statistics (2020)

Postgraduate Certificate in Applied Statistics (2020)


Applications are invited from interested candidates for the Postgraduate Certificate in Applied Statistics offered by the Department of Statistics, University of Sri Jayewardenepura. This program has been designed to provide a basic knowledge in Applied Statistics for professionals from various fields. Those who complete the program successfully will be capable of solving statistical problems arising in practical situations in a broad range of fields.

The Postgraduate Certificate program in Applied Statistics provides (a) essential theoretical knowledge in Statistics, (b) an opportunity for graduates who have not studied Statistics to learn Statistics, (c) knowledge in applications of Statistics and training in data analysis required by graduate employees in various fields, and (d) an opportunity for graduate employees to gain higher education qualifications required for their promotions and career development.

Program Structure (2020 intake):

Semesters

 

 

Course Code Course Name Credit Value

 

Status

(Core /Optional)

1 STA 501 1.0

STA 502 2.0

STA 503 1.0

STA 504 2.0

STA 505 2.0

STA 506 2.0

Descriptive Statistics

Probability and Distribution Theory

Sampling Techniques

Statistical Inference

Medical Statistics

Linear Regression Analysis

1.0

2.0

1.0

2.0

2.0

2.0

Core

Core

Core

Core

Core

Core

2 STA 507 1.0

STA 508 1.0

STA 509 2.0

STA 510 2.0

STA 511 2.0

STA 512 2.0

Nonparametric Statistics

Industrial Statistics

Introduction to Design and Analysis of Experiments

Categorical Data Analysis

Applied Multivariate Analysis

Data Analysis

1.0

1.0

2.0

2.0

2.0

2.0

Core

Core

Core

Core

Core

Core

Postgraduate Certificate: Total number of lecture hours is 300 hours. Total number of credits is 20. All the courses are core courses.

 

Minimum Admission Requirements:

  • A Bachelor’s Degree in any field of study from a recognized university OR
  • An equivalent qualification accepted by the Senate of the University of Sri Jayewardenepura.

Applications:

Click here to download the e-application form.

Pay the application fee of Rs. 1,000/- to account number 053010006731 through any People’s Bank branch.

Please email scanned copies of the completed application form, the certified copy of your transcript and the bank payment receipt to

PGCertAppStatUSJ@gmail.com

Also, please send via post the completed application form and a certified copy of your transcript along with one of the bank payment receipts to

Department of Statistics, Faculty of Applied Sciences, University of Sri Jayewardenepura.

The program will be offered only if at least 20 candidates are registered.

 

Closing date of applications: 03rd of July, 2020

Duration: One (01) year


Course Fee:
Rs. 130,000/-

In addition, a library fee and a registration fee should be payable at the time of registration.

 

All lectures will be conducted using online teaching methods. However, when the university reopens for students, discussions, practical classes, oral presentations, exams etc. will be conducted in the University premises during the weekend.

Upon successful completion of the program, you will be eligible to apply for the MSc program in Applied Statistics offered by the Department of Statistics with the fulfillment of at least one of the following:

  • A Bachelor’s Degree from any field of study with 10 credits in Statistics and/or a related field from a recognized university.
  • At least one year working experience in a related field.

 

 

Tentative commencement: August, 2020

For further information

Dr. Chathuri Jayasinghe
Coordinator – postgraduate program in Applied Statistics,
Department of Statistics,
University of Sri Jayewardenepura, Gangodawila, Nugegoda

Email: chathuri@sjp.ac.lk

Introducing a Master’s degree program in Data Science and Artificial Intelligence

group03

Erasmus+ DS&AI project was started in 2018 for the main purpose of introducing a novel Master’s degree program in Data Science and Artificial Intelligence in Asia with the mission of bringing European-standard advanced education to Asia. Nine Asian universities, three European universities and four European companies are involved in the above project.

As a part of the project, a team of four academics (Mr. DDA Gamini, Dr. TGI FernandoDr. Chitraka Wickramarachchi & Dr. RM Silva) from the Department of Computer Science and the Department of Statistics participated in a study visit to Greece and the Netherlands with primary objective of designing curriculum, together with other partner universities, for the Master’s degree program in Data Science and Artificial Intelligence.

In parallel to the Masters degree program in Data Science and Artificial Intelligence, professional training courses are going to be offered by each partner university targeting the people from the industry. In order to design and offer these professional courses at the University of Sri Jayewardenepura, we will be organizing an awareness program called “Info Days” inviting the prospective candidates from the industry.  

For more details, please go to this link: https://science.sjp.ac.lk/sta/dsai/

Champions at the ESTADISTICA challenge trophy

University of Sri Jayewardenepura emerged champions at the ESTADISTICA challenge trophy, the inter-university quiz organized by the Statistics Society of University of Sri Jayewardenepura. The competition took place at the university premises, in par with the annual statistics convention ESTADISTICA 2019, which was held on the 21st on November. The winning team members were W.D.M Fernando, F.H.S.D Silva, R.T Dananjana, V.C.R. de Mel.

estadistica-challenge-trophy-2019

First runner-up at SLIIT codefest 2019

University of Sri Jayewardenepura secured the second place in the datathon of SLIIT CODEFEST 2019. The competition consisted of tackling a big data problem sponsored by zone24x7 technologies (pvt) ltd. The competitors were faced with the challenge of analyzing a dataset of sales over an year and fitting a predictive model to prevent problems in retail where items are out of stock.  The winning team members were J.C. Wanniarachchi, U. S. Samarasinghe, A.S. Fernando, H.A. Mendis.

sliit-codefest-2019