<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>University of Leeds Archives - AI Monks | Counsel</title>
	<atom:link href="https://aimonks.com/counsel/tag/university-of-leeds/feed/" rel="self" type="application/rss+xml" />
	<link>https://aimonks.com/counsel/tag/university-of-leeds/</link>
	<description>Counsel</description>
	<lastBuildDate>Sun, 29 Dec 2019 16:54:05 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=6.8.2</generator>

<image>
	<url>https://aimonks.com/counsel/wp-content/uploads/2019/08/cropped-logo_1-32x32.png</url>
	<title>University of Leeds Archives - AI Monks | Counsel</title>
	<link>https://aimonks.com/counsel/tag/university-of-leeds/</link>
	<width>32</width>
	<height>32</height>
</image> 
	<item>
		<title>Master’s in Data Analytics &#038; Human Resource Management- University of Leeds</title>
		<link>https://aimonks.com/counsel/masters-in-data-analytics-human-resource-management/</link>
					<comments>https://aimonks.com/counsel/masters-in-data-analytics-human-resource-management/#respond</comments>
		
		<dc:creator><![CDATA[admin_counsel]]></dc:creator>
		<pubDate>Sun, 29 Dec 2019 16:54:05 +0000</pubDate>
				<category><![CDATA[Full-time Classroom Courses]]></category>
		<category><![CDATA[Data Analytics]]></category>
		<category><![CDATA[Human Resource Management]]></category>
		<category><![CDATA[University of Leeds]]></category>
		<guid isPermaLink="false">http://aimonks.com/counsel/?p=1115</guid>

					<description><![CDATA[<p>Name of Course &#38; University MSc. in Data Analytics and Human Resource Management Location Leeds, West Yorkshire, England Type of Degree Masters Programme (Postgraduate) Course Duration 1 year Course Fee 25000 GBP INR 23,68,750 Mode of Teaching Full-time classroom teaching *1 GBP= INR 94.75 All You Need to Know  The University of Leeds has been [&#8230;]</p>
<p>The post <a href="https://aimonks.com/counsel/masters-in-data-analytics-human-resource-management/">Master’s in Data Analytics &#038; Human Resource Management- University of Leeds</a> appeared first on <a href="https://aimonks.com/counsel">AI Monks | Counsel</a>.</p>
]]></description>
										<content:encoded><![CDATA[<table>
<tbody>
<tr>
<td><b>Name of Course &amp; University</b></td>
<td>MSc. in Data Analytics and Human Resource Management</td>
</tr>
<tr>
<td><b>Location</b></td>
<td>Leeds, West Yorkshire, England</td>
</tr>
<tr>
<td><b>Type of Degree</b></td>
<td>Masters Programme (Postgraduate)</td>
</tr>
<tr>
<td><b>Course Duration</b></td>
<td>1 year</td>
</tr>
<tr>
<td><b>Course Fee</b></td>
<td>25000 GBP</p>
<p>INR 23,68,750</td>
</tr>
<tr>
<td><b>Mode of Teaching</b></td>
<td>Full-time classroom teaching</td>
</tr>
</tbody>
</table>
<p><span style="font-weight: 400;">*1 GBP= INR 94.75</span></p>
<h2><span style="font-weight: 400;">All You Need to Know </span></h2>
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">The University of Leeds has been ranked 93rd globally according to the </span><a href="https://www.topuniversities.com/universities/university-leeds"><span style="font-weight: 400;">QS 2019 global rankings</span></a></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">The Master’s programme in Data Analytics &amp; Human Resource Management at the University of Leeds is stated to have been developed after careful consideration from HR and Analytics professionals alike, who wish to grasp the know-how of both worlds</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">The course delves deep into the existing issues in strategic human resource management, along with detailed statistics and practical applications of the data used in the study</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">The Master’s programme deals with data translation that aims at identifying issues in business concerning people, and how analytics can be utilized in determining and developing concrete solutions for the same</span></li>
</ul>
<h2><span style="font-weight: 400;">Duration &amp; Location of Master’s in Data Analytics &amp; Human Resource Management</span></h2>
<p><span style="font-weight: 400;">Master’s Programme in Data Analytics &amp; Human Resource Management is a one-year full-time programme (180 credits), held at the Leeds University Business School at the University of Leeds, Yorkshire, England.</span></p>
<p><span style="font-weight: 400;">The exact address is as follows-</span></p>
<p><span style="font-weight: 400;">Business School, </span></p>
<p><span style="font-weight: 400;">The University of Leeds, </span></p>
<p><span style="font-weight: 400;">Leeds LS6 1AN, </span></p>
<p><span style="font-weight: 400;">United Kingdom</span></p>
<h2><span style="font-weight: 400;">Course Details at Leeds</span></h2>
<p><span style="font-weight: 400;">The academic term commences in the month of September each year. The Master’s programme is divided into 3 essential components- </span></p>
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">The theory and practice of strategic HRM and organizations</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">The principles of Statistics and Data Analytics </span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">The application of data analytics to issues in HR</span></li>
</ul>
<p><span style="font-weight: 400;">along with a wide range of electives to choose from.</span></p>
<p><span style="font-weight: 400;">While the first semester focuses on a more theoretical in-depth basis on people analytics, the second semester, on the other hand, deals with the identification and application of the knowledge earned in semester one.</span></p>
<p><span style="font-weight: 400;">The course is said to be quite competitive, with well-qualified lecturers sharing their expertise on an array of interests. The evaluation of the course is dependent upon examinations, written assignments and essays, group and individual presentations, reports and else.</span></p>
<p><span style="font-weight: 400;">People Analytics: Strategy and Practice is the compulsory module, whereas the electives range from Efficient decision making to Information tools for organizations, occupational psychology, Internal communications, and change management.</span></p>
<h2><span style="font-weight: 400;">Fees</span></h2>
<p><span style="font-weight: 400;">The tuition fees for international students are £25,000 i.e INR 23,68,750 approximately. However, there is an option of paying the fee in two installments, after filling the University Secure Payment System form.</span></p>
<h2><span style="font-weight: 400;">Scholarship</span></h2>
<p><span style="font-weight: 400;">The course offers scholarships and bursaries are awarded to exceptional students. </span></p>
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">The Dean’s International Excellence Scholarship awards one full-fee scholarship to deserving international postgraduate applicants. The deadline to apply for the same for this session is 30th April 2020</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Additional scholarships worth 6000 GBP are also awarded to candidates displaying remarkable persona and academic performance</span></li>
</ul>
<h2><span style="font-weight: 400;">Eligibility Conditions for Data Analytics &amp; Human Resource Management</span></h2>
<p><span style="font-weight: 400;">For successful application to the course, applicants must fulfill the following conditions-</span></p>
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">The applicant must hold an undergraduate degree with a 2:1 (honors) or equivalent, with specialization in business, management, social sciences, or any other background under exceptional circumstances, along with certain quantitative skills (subject to assessment)</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">The student must have an IELTS score of overall 6.5, with no less than 6.0 in any component</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">A copy of degree certificate/transcript/partial transcript (In case of being in the final year of undergraduate studies) must be presented</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">2 Letters of recommendation/references</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">The applicant must submit his/her latest resume while applying</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">A personal statement</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Letter of Scholarship (if required)</span></li>
</ul>
<h2><span style="font-weight: 400;">Admission Process at Leeds University</span></h2>
<p><span style="font-weight: 400;">The Master’s programme at Leeds University Business School carries out stage-wise admission acceptance and evaluation processes-</span></p>
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">Stage 1 of the application procedure for MSc. Data Analytics and Human Resource Management commences on 1st September 2019 and ends around the 23rd of December 2019. The decision for the same is to be out by 14th February 2020 for the upcoming session</span></li>
</ul>
<p><span style="font-weight: 400;">Each stage of application opens up immediately post their preceding deadlines</span></p>
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">Stage 2 will commence immediately after the first deadline and will close around the end of February 2020. The results for the same will be released around mid-April 2020 for the upcoming session</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Stage 3 for this session will end on 24th April 2020, and the results will be out by 22nd May 2020</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">The deadline for international students is 30th June with the results releasing around 15th July 2020</span></li>
</ul>
<h2><span style="font-weight: 400;">Career Specializations in Data Analytics &amp; Human Resource Management</span></h2>
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">Upon successful completion of the course, essential management and analytical skills are inculcated</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Career specializations include job profile options such as Global Human Resource Management personnel to authentic HR professionals to advisors and else</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">The course also offers added opportunities to further research studies. Additionally, the Careers Centre provides help and advice, even after graduation</span></li>
</ul>
<p><span style="font-weight: 400;">For more detailed information on the course, visit the official website of the university </span><a href="https://courses.leeds.ac.uk/i693/data-analytics-and-human-resource-management-msc"><span style="font-weight: 400;">here</span></a><span style="font-weight: 400;">. </span></p>
<p><span style="font-weight: 400;">Keep following </span><a href="https://aimonks.com/counsel/"><span style="font-weight: 400;">AI Monks</span></a><span style="font-weight: 400;"> to stay updated with the latest information on Data Analytics and more. </span></p>
<p>The post <a href="https://aimonks.com/counsel/masters-in-data-analytics-human-resource-management/">Master’s in Data Analytics &#038; Human Resource Management- University of Leeds</a> appeared first on <a href="https://aimonks.com/counsel">AI Monks | Counsel</a>.</p>
]]></content:encoded>
					
					<wfw:commentRss>https://aimonks.com/counsel/masters-in-data-analytics-human-resource-management/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
	</channel>
</rss>
