Master of Technology in Applied Statistics (Financial Statistics)

Duration:	2 Years
Semesters:	4 Semesters
Credit Hours Per Semester:	Semester 1 = 18 Credit Hrs Semester 2 = 18 Credit Hrs Semester 3 = 16 Credit Hrs Semester 4 = 16 Credit Hrs
Total Credit Hours:	68 credit Hours
Dean of Faculty:	Prof. Bashiru I. I, Saeed
Head of Department:	Hudu Mohammed
Exam Officer:	Mr. Francis Anyan

YEAR 1, BLOCK 1 (SEMESTER 1)

Course Code	Course Title	T	P	C
STF 501	Advanced Probability Theory	1.5	1.5	3
STF 503	Statistical Inference	1.5	1.5	3
STF 505	Statistical Computing	1.5	1.5	3
STF 507	Risk Management	1.5	1.5	3
STF 509	Econometrics	1.5	1.5	3
STF 511	Advanced Microeconomics	1.5	1.5	3
TOTAL		18	0	18

YEAR 1, BLOCK 2 (SEMESTER 2)

Course Code	Course Title	T	P	C
STF 502	Statistical Modelling	1.5	1.5	3
STF 504	Advanced Research Methods	1.5	1.5	3
STF 506	Financial Science Statistics	1.5	1.5	3
STF 508	Financial Economics	1.5	1.5	3
STF 510	Applied Time Series Analysis	1.5	1.5	3
STF 512	Advanced Macroeconomics	1.5	1.5	3
TOTAL		18	0	18

YEAR 2, BLOCK 3 (SEMESTER 3)

Course Code	Course Title	T	P	C
STF 601	M. Tech Thesis I	15	0	15
STF 603	Seminar I	0	1	1
TOTAL		15	1	16

YEAR 2, BLOCK 4 (SEMESTER 4)

Course Code	Course Title	T	P	C
STF 602	M. Tech Thesis II	15	0	15
STF 604	Seminar II	0	1	1
TOTAL		15	1	16

Holders of BTech or BSc Statistics,
BTech or BSc Financial Statistics,
BSc Accounting, BSc Economics, B. Sc. Mathematics or similar disciplines
All applicants must have a minimum of one (1) year post-qualification industrial experience. Preference will be given to applicants with 1st class and 2nd class upper honours. First class BTech Financial Statistics applicants may be admitted without the post-graduation industrial experience. Applicants with a second class (lower division) or lower qualifications will have to pass an interview before admission into the programme. Applicants with other Statistics or Mathematics backgrounds would be required to take relevant Financial Science courses as prerequisites.

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