Bachelor of Arts Honors in Statistics, BAHons (Statistics)


The Honors Degree Program in Statistics conducted by the Department of Economics and Statistics seeks to produce Scholars, Innovators, Leaders and Global Citizens in the following manner:
 
Scholars - Graduates produced by the Department have a broad knowledge base and disciplinary expertise. They are aware of contemporary research in their field of specialization and able to conduct their own research and investigations. They are excited by ideas, discovery and learning and are conscientious in their endeavors by analyzing the real world incidences through sophisticated analytical platform to understand the complexities of the worlds they encounter at work and in society.
 
Innovators - Graduates of the Department have to be with a vision for future and solution focused. They are curious, critical and creative. They are capable of developing unique and sustainable solutions to real world problems.
 
Leaders - Our graduates take personal responsibility and seek opportunities to work with others to advance thinking and achievement in all spheres of their lives. They are confident, inspiring and influential.


Global Citizens - Graduates who complete our degree program are expected to be able appreciate the role of the University and are aware of global issues. They act with integrity and fluency across cultures and perspectives, are committed to the betterment of society, open in their thinking and appreciative of the riches that diversity and equity bring.

Graduate Capabilities
There are six clusters of generic capabilities which the Department seeks to foster in all of its graduates through teaching and learning in the respective Honors Degree Programs of study. These, as relevant to the Honors Degree Program in Statistics, are:

1. Disciplinary Knowledge & Practice 

Descriptor
Graduates are expected to understand the thinking, research, theory and practice in the field of Statistics and appreciate the role of their discipline in its contexts especially in the policy formulation process. 

This theme includes the ability to

  • demonstrate an advanced knowledge and understanding of the core aspects of the area of study.
  • critically analyze data, make judgments and propose solution to problems.
  • construct and sustain arguments use these arguments ,ideas and techniques in problem solving.
  • use practical skills and enquiry efficiently within the area of study.
  • do research in the field of study.
  • operate fluently in the terminology, analytic and research methods and practices of Statistics.  understand the wider trends and developments that have shaped the field of study. 

2. Critical Thinking 

Descriptor
Graduates are expected to be able to contest knowledge and practice, critically consider ideas, texts and research and think reflectively and reflexively.

This theme includes the ability to

  • think imaginatively and innovatively.
  • analyze problems from multiple perspectives.
  • access information and judge its pertinence.
  • introduce new dimensions to existing ones in the domestic environment.
  • enrich domestic tools of thinking. 

3. Solution Seeking 

Descriptor
Graduates are expected to be able to apply theory, analysis, research and creative skills to solve problems and make reasoned decisions. They are expected to be able to consider long-term and big picture perspectives, to systematically address complex problems and to be imaginative in their solution seeking

This theme includes the ability to

  • construct and sustain arguments and use these arguments, ideas and techniques in problem solving for a given situation.
  • consider long-term and big picture perspectives including, where applicable, sustainability and social, economic and environmental impact.

4. Communication & Engagement  

Descriptor
Graduates are expected to be able to receive and interpret information, express ideas and share knowledge with diverse audiences in a range of media and formats. They are expected to be able to establish a rapport and build collaborative relationships with individuals and groups.

This theme includes the ability to

  • communicate/present information,ideas, issues and solution efficiently and effectively.
  • demonstrate awareness of the current developments in the area of study.
  • express ideas effectively in writing, speech, design, image and sound using English , Sinhala and Tamil appropriately and accurately.
  • analyze data with appropriate statistical tools and interpret results with less statistical jargons.
  • adapt an artistic, design-based or discursive style to audience and purpose.

5. Independence & Integrity

Descriptor
Graduates are expected to be able to learn and work autonomously and ethically. They are expected to be lifelong learners, to show resilience, proactively and an ability to make principled decisions in academic and professional spheres.

This theme includes the ability to

  • participate in lifelong learning in and beyond their discipline.
  • exhibit resilience, independence and personal autonomy
  • demonstrate leadership, personal characteristics and attitudes that are consistent with ethical behavior.
  • understand academic integrity and professional ethics within a disciplinary context.
  • learn independently and proactively.

6. Social & Environmental Responsibilities

Descriptor
Graduates are expected to be sensitive to cultural diversity and to embrace difference. Our graduates are expected to recognize a role for themselves in creating a sustainable future and be able to consider the social, cultural, environmental and economic consequences of national and international issues.

This theme includes the ability to

  • consider the wider implications of local and global issues.
  • adopt sustainability principles and practices.
  • demonstrate awareness of sustainability implications of world events
  • exercise cultural competence and appreciate diversity.
  • participate in community based projects.

 


Year I Semester I
STC 111 (3) Introduction to Statistics 

Year I Semester II
STC 121 (3) Introduction to Statistics II

Year II Semester I
STC 211 (3) H + G +M Theory of Probability
STC 212 (3) H + G Mathematical Statistics I
STC 213 (3) H Operational Research

Year II Semester II
STC 221 (3) H + G +M Time Series Data Analysis I
STC 222 (3) H + G Distribution Theory I
STC 223 (3) H Mathematical Statistics II

Year III Semester I
STC 311 (3) H + G +M Regression Analysis I
STC 312 (3) H + G* Statistical Inference
STC 313 (3) H + G* Computer Packages for Statistics
STC 314 (3) H Statistical Quality Control
STC 315 (3) H Experimental Design

Year III Semester II
STC 321 (3) H + G +M Sampling Techniques
STC 322 (3) H + G* Non Parametric Techniques
STC 323 (3) H + G* Regression Analysis II
STC 324 (3) H Multivariate Data Analysis I
STC 325 (3) H Distribution Theory II
STC 326 (3) G* Scientific Report Writing

Year IV Semester I
STC 411 (3) H Research Methods for Statistics
STC 412 (3) H Time Series Analysis II
STC 413 (3) H Multivariate Data Analysis II
STC 414 (3) H Survival Data Analysis
STC 415 (3) H Categorical Data Analysis

Year IV Semester II
STC 421 (6) H Dissertation / Practical Training

G* required to follow by the students who offer Statistics as the major subject in the general degree only.

 

SLQF Level  
Credits Honors
General
Medium of Instruction Sinhala / English
Duration 04 Year Special
03 Year General 
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