Program Details

Program Details
Master of Science Program in
Applied Economics and Business (M.Sc. AEB)
Offered by
Muzumbe University (Tanzania)
In Academic Collaboration with
CMR University, Bangalore (India)
January, 2015 Cohort
1. Program Description
The Masters’ Program in Applied Economics and Business is designed for students
who aspire to a career in business. The course equips students with rigorous
economic analysis methods and tools, thus it is differentiable from a generalized
1
MBA program. Another goal of this course is for students to develop a key
understanding of a firm in its global and economic environments. This understanding
helps in making key strategic decisions in the short, medium as well as the long –
term.
A typical graduate of the Masters’ program is expected to pursue a career in
business, policy-making institutions, and think-tanks or extend their academic
pursuits to a PhD.
The Program extends to three semesters, with the first two semesters
consisting of extensive course-work and one semester of thesis. The course work
consists of introductory examination of microeconomic and macroeconomic
theories, as well as training in the data analysis tools and techniques. The one of the
aims of the coursework is to provide the students with the ability to comprehend the
empirical analyses and reports pertinent to the discussion of business and economic
issues. At the end of the course work, in the third semester, students will examine a
business/economic research problem using the tools and techniques they have
mastered during the coursework.
This research problem will be of a
contemporaneous, cross-disciplinary nature in East Africa and beyond.
While the coursework is rigorous, it is accessible to students with
undergraduate degrees in Economics, Business as well as pure sciences. The
strategy of the program is to give students a well-rounded set of skills that prepare
them for successful careers.
3.
Programme Objectives
The programme specifically aims at the following objectives:
i. To help in developing in-depth understanding of managerial problem solving
by adequately relating and interpreting the available business and economic
data;
ii. To familiarize the students with the emerging inter-disciplinary knowledge
relevant to the analysis of business and economic problems in the given
context;
iii. To develop strong skills in economic and financial analysis by applying latest
technological tools and techniques; and
iv. To prepare for managerial career in the different business functions, focusing
on area of economic and financial analysis;
4.
Learning Outcomes
Upon successful completion of this program, the student should be able to:
i.
Successfully analyze
recommendations;
any
economic
2
/business
data
and
provide
ii.
Successfully analyze a particular problem faced by an organization and
produce findings in form of report as well as present these findings to an
audience;
iii.
Conduct primary calculations such as time value of money, benefit –cost
analysis as well as a host of financial ratios to compare
firms/investments/assets;
iv.
Conduct both continuous and discrete choice regressions on cross-sectional
and time-series data obtained from government, International agencies as
well as financial data firms; and
v.
Competency in professional and technical writing skills that is essential for
exploring employment opportunities in business.
5.
Program Fee
For 2014-16 Cohorts: US Dollar 4000.00 (Total)
6.
Program Start Date
For 2014-16 Cohorts: January, 2015
3
7. Course-Structure
SI
Course
No
Code
Semester I
1
ECON
2
3
ABST
ITIE
4
MMMT
5
FMEC
Semester II
6
SMBD
7
8
9
10
11
FEAS
ECOM
PPMT
FRAN
REMD
Semester III
12
Name
Credits
Economic Analysis of Business
Decisions (Micro & Macroeconomics)
Applied Business Statistics
International Trade and Industrial
Economics
Marketing Management
Free Market Economics
12
Strategic Management and Business
Diplomacy
Financial Economics & Actuarial Science
E-Commerce- Models and Applications
Project Planning and Management
Financial Reporting and Analysis
Research Methodology and Statistical
Analysis
12
Thesis
48
4
12
12
12
12
12
12
12
12
12