Diploma in Statistics

Special Regulations for the Diploma in Statistics Programme

Subject to the General Academic Regulations 000 and 100, the following Special Departmental Regulations shall apply:

Direct Entry into the Diploma Programme

Students possessing an Ordinary Level pass with grade C or better in Mathematics, or an additional Mathematics paper are eligible for direct entry admission to the Diploma Programme; those who have a credit of C or better in the extended Mathematics option for BGCSE are also eligible for admission.

Duration of the Programme

The normal duration of the Programme is 4 semesters on a full-time basis carrying a minimum of 64 accumulated credits for required courses. 

Programme Structure

The core Programme comprises 11 courses in Statistics totalling 33 credits. In addition, there are 11 optional/elective courses with 27 credits and 2 General Education Courses with 4 credits. Students can take electives from other related disciplines. Students intending to take BSC statistics later should take MAT option. Those intending to combine Statistics and Economics should take Economics courses while those intending to major in Population Studies should take Population Studies courses.

Level 100

Core Courses

DST111 Statistical Systems (3.Sem 1)
DST112 Collecting and Organizing Data (3, Sem 1)
DST121 Handling and Analyzing Data Basic (3, Sem 2)
DST122 Presenting Statistical Data and Results (3, Sem 2)
DST123 Using Prob. Ideas in Dealing with data (3, Sem 2)

Optional Courses

Semester 1:

Either STA101 Mathematics for Business and Social Sciences I or MAT 111.

Semester 2:

Either STA102 Mathematics for Business and Social Sciences II or MAT 112.

Elective Courses.

Semester 1:

A 100 Level course from Economics/Populations Studies/Environmental Science or any other related discipline (3, sem1)

Semester 2:

A 100 Level course from Economics/Populations Studies/Environmental Science or any other related discipline (3 sem2)

General Education Courses

Semester 1

1. COM151 Communication and Academic Literacy Skills (Social Sciences) (3)
2. ICDL International Computer Driver’s License Part 1 (3) or ICT121.

Semester 2

3. COM152 Academic and Professional Communication (Social Sciences)(3)

Level 200

Semester 2

DST211 Introduction to Basic Statistical Concepts (3 Sem 1)
DST212 Introduction to Time Series Concepts (3 Sem 1)
DST213 Index Numbers and Economics Statistics (3 Sem 1)
DST221 Statistical Modelling (3 Sem 2)
DST222 Sampling Concepts in Survey Work (3 Sem 2)
DST223 Practical Project (3.Sem 2)

Optional Courses

Must take one course per semester (2 courses, 6 credits) from any of the following:

Semester 1

MAT221/POP201/ECO211/STA201

Semester 2

MAT212/POP223/STA 212/ECO212

Elective Courses

Semester 1:

A 200 Level course from Economics/Populations Studies/Environmental Science or any other related discipline (3, sem1)

Semester 2:

A 200 Level course from Economics/Populations Studies/Environmental Science or any other related discipline (3 sem2)

Assessment

Unless otherwise specified the mode of delivery and learning objectives for this programme does not follow the usual conventions of teach test and examine. Some courses are theory based; some are more practical and interactive while others require some degree of field work and report writing. Hence the details on how each course shall be assessed are shown under the course description.

Award of Diploma

A student shall be eligible for the award of the Diploma in Statistics after completing a minimum of 64 credits for courses specified in section 7.3.

Classification of the Diploma

The award of the Diploma shall be classified as Distinction, Merit, Credit or Pass, according to the GPA as per General Regulation 10.4.