Official
statistics are statistics that provide quantitative or qualitative information
on all major areas of citizens' lives, such as economic and social
development, living conditions, health, education and the environment.
The
official statistics are organized in three categories as follows:
·
Economic Statistics such as Agricultural Statistics, Price
Statistics, Infrastructure Statistics, Trade Statistics, Industrial Statistics,
Labour Statistics, etc.
·
Social Statistics such as Education Statistics, Health Statistics,
Housing Statistics, Criminal and Justice Statistics, etc.
·
Socio-economic (Cross-cutting) Statistics such as Gender Statistics, Environmental Statistics, etc.
Statistical
Data and numerical information have played a very vital role in the growth and
development of agriculture and its economy.
In an
agrarian economy like Tanzania the majority of the rural population about 65%
depend on agricultural sector for survival and it is the main source of
livelihood. Therefore, the utility of agricultural statistics and its economy
is even more important. Facts also show there is an increased demand of
agricultural statistics to inform national development processes. The Centre,
therefore, has introduced Bachelor Degree in Agricultural Statistics and
Economics aiming at producing highly knowledgeable, expertly skilled and
creatively innovative professionals to satisfy the demands of the agriculture
sector and its economy. Professionals
will help production of quantitatively information for feasible and effective
planning and policy formulation to support decision making in the agricultural
sector and its economy.
At the end of the Course students will be able to:
·
To
use technologies in the agricultural data collection
·
To
produce atlas maps of agrarian economy
·
To
compile various agricultural and economic data with respect to agricultural
development
The
General Objective of the Programme is to produce highly committed, responsible
and creatively innovative professional graduates to deal with analyzing of
structured and unstructured data, modelling, software engineering,
visualization, creating and presenting insights that assist in making powerful
data-driven decisions. Data Science is the extraction of knowledge from data.
It is the blended technology brought from the broad areas of mathematics,
statistics, information science and computer science. Data science can be used
to investigate complex problems in various domains, such as marketing optimization,
health-care, business analysis, bank systems, setting public policy, etc.
The
Qualified Data Science Professionals shall have the following skills:
·
Statistics
skills: Ability to collect, process and analyze data, ability to design
statistical models, ability to interpret data.
·
Mathematics
skills: Ability to manipulate data, ability to write mathematics models,
ability to design mathematics algorithms.
·
Computer
skills: Ability to generate data visualization, ability to mine/extract
information from data (data mining), ability to generate the forecasting and
predictive models.
This
program produces graduates with combined business, economics and statistics
skills. These skills complement each other to equip a modern business manager
with integrated skills in decision making. The current business environment
together with economics tools and business operation skills, require the
ability to analyze and summarize data, and use statistical analysis for
decision-making and problem solving.
A
graduate from this program will have acquired three core independent but
complementary skills;
Economic
skills: Ability
to assess demand and supply chain of the product, ability to
understand marketing environment and their impact to business, ability
to establish optimal and profitable economic options
Statistical
skills: Ability
to collect, process and analyze data using cutting edge technology and tools, ability
to design statistical models, ability to write statistical reports for
technical and non-technical audience
Business
skills: Ability
to manage finances and evaluate financial options, ability to market and manage
marketing of products/services, ability to manage and control human resources
for better business outcome
What is the Rationale of Diploma in Statistics Programme?
Quality
data demands a system of data collection that is closely supervised to ensure
its effectiveness. The Diploma programme is aimed at to producing statistical
personnel who are highly knowledgeable in data collection methods and fit to
supervise the task.
What
are Objectives of the Programme?
The
objective behind this programme is geared towards producing highly committed
and responsible personnel who are capable of supervising data collection
process and process data. At the end of the programme graduates are expected to
demonstrate ability to apply knowledge and skills in:
·
Applying
statistical skills in supervising data collection exercises;
·
Applying
statistical skills in undertaking field logistics;
·
Applying
statistical packages in preliminary data analysis;
·
Applying
business communication skills related to advocate for the importance of
Statistics.
What is
the Rationale of Certificate in Statistics Programme?
Data
collection and entry activities are the initial stages in the data production
cycle, thus the reliability of produced statistics in any area depends much on
the quality of the data collected and properly entered in the computer. This
therefore calls for qualified personnel to undertake these activities. Hence
this programme will cater for the needs of National Statistical System (NSS)
stakeholders who require qualified data collectors.
What
are Objectives of the Programme?
·
The
general objective of this programme is geared towards producing statistical
clerks who will be able to apply basic skills and knowledge in data collection
in all areas of statistical inquiries. The programme is also geared towards
personnel who can perform data entry activities.
·
Specifically,
the programme aims at equipping the graduates with the following knowledge and
skills:
·
Apply
basic statistical skills and mathematical methods in solving problems;
·
Apply
basic computer knowledge for managing data collection activities;
·
Apply
basic computer knowledge for data entry activities;
·
Demonstrate
proper use of Basic English skills in different contexts;
·
Use
life skills in managing personal and interpersonal relations;
·
Demonstrate
ability to start and run a business through entrepreneurship skills